mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-08 20:38:31 +02:00
Restructure inference docs (#2225)
* Break Inference page into several pages * Make all inference code snippets testable and clean up * Make more snippets testable * Edits * Document automatic query and passage prefix injection in Cloud Inference Qdrant Cloud Inference silently applies model-specific prefixes (e.g. "query: "/"passage: " for E5, BGE-style instruction prefix for BGE/mxbai/ Snowflake arctic-embed) so users don't need to manage them manually. Add a section explaining this behavior, the idempotency guarantee, and the scope (Qdrant-hosted models only; external providers handle their own). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Document short query optimization in Cloud Inference Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Update links * Expand on external provider API key usage * Add section about external provider API keys * Default to header for external API keys --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Abdon Pijpelink
co-authored by
Claude Sonnet 4.6
Claude Sonnet 4.6
parent
90d072eb03
commit
478b96554f
@@ -6,12 +6,14 @@ public class Snippet
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{
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public static async Task Run()
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{
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// @hide-start
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var client = new QdrantClient(
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host: "xyz-example.qdrant.io",
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port: 6334,
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https: true,
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apiKey: "<paste-your-api-key-here>"
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);
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// @hide-end
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await client.UpsertAsync(
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collectionName: "<your-collection>",
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-7
@@ -3,13 +3,6 @@ using Qdrant.Client;
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using Qdrant.Client.Grpc;
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using Value = Qdrant.Client.Grpc.Value;
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var client = new QdrantClient(
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host: "xyz-example.qdrant.io",
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port: 6334,
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https: true,
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apiKey: "<paste-your-api-key-here>"
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);
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await client.UpsertAsync(
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collectionName: "<your-collection>",
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points: new List <PointStruct> {
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+33
@@ -0,0 +1,33 @@
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```go
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import (
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"context"
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"github.com/qdrant/go-client/qdrant"
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)
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client.Upsert(context.Background(), &qdrant.UpsertPoints{
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CollectionName: "<your-collection>",
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Points: []*qdrant.PointStruct{
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{
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Id: qdrant.NewIDNum(1),
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Vectors: qdrant.NewVectorsImage(&qdrant.Image{
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Model: "qdrant/clip-vit-b-32-vision",
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Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
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}),
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Payload: qdrant.NewValueMap(map[string]any{
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"title": "Example image",
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}),
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},
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},
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})
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client.Query(context.Background(), &qdrant.QueryPoints{
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CollectionName: "<your-collection>",
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Query: qdrant.NewQueryNearest(
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qdrant.NewVectorInputDocument(&qdrant.Document{
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Text: "Mission to Mars",
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Model: "qdrant/clip-vit-b-32-text",
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}),
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),
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})
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```
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+47
@@ -0,0 +1,47 @@
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```java
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import static io.qdrant.client.PointIdFactory.id;
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import static io.qdrant.client.QueryFactory.nearest;
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import static io.qdrant.client.ValueFactory.value;
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import static io.qdrant.client.VectorsFactory.vectors;
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import io.qdrant.client.QdrantClient;
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import io.qdrant.client.QdrantGrpcClient;
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import io.qdrant.client.grpc.Points;
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import io.qdrant.client.grpc.Points.Document;
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import io.qdrant.client.grpc.Points.Image;
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import io.qdrant.client.grpc.Points.PointStruct;
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import java.util.List;
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import java.util.Map;
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client
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.upsertAsync(
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"<your-collection>",
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List.of(
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PointStruct.newBuilder()
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.setId(id(1))
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.setVectors(
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vectors(
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Image.newBuilder()
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.setImage(value("https://qdrant.tech/example.png"))
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.setModel("qdrant/clip-vit-b-32-vision")
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.build()))
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.putAllPayload(Map.of("title", value("Example Image")))
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.build()))
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.get();
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List<Points.ScoredPoint> points =
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client
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.queryAsync(
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Points.QueryPoints.newBuilder()
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.setCollectionName("<your-collection>")
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.setQuery(
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nearest(
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Document.newBuilder()
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.setText("Mission to Mars")
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.setModel("qdrant/clip-vit-b-32-text")
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.build()))
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.build())
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.get();
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System.out.printf(points.toString());
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```
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+38
@@ -0,0 +1,38 @@
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```rust
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use qdrant_client::{
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Payload, Qdrant,
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qdrant::{Document, Image, PointStruct, Query, QueryPointsBuilder, UpsertPointsBuilder},
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};
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let points = vec![PointStruct::new(
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1,
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Image {
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image: Some("https://qdrant.tech/example.png".into()),
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model: "qdrant/clip-vit-b-32-vision".into(),
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..Default::default()
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},
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Payload::try_from(serde_json::json!({
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"title": "Example Image"
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}))?,
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)];
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client
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.upsert_points(UpsertPointsBuilder::new("<your-collection>", points).wait(true))
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.await?;
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let query_document = Document {
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text: "Mission to Mars".into(),
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model: "qdrant/clip-vit-b-32-text".into(),
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..Default::default()
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};
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let result = client
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.query(
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QueryPointsBuilder::new("<your-collection>")
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.query(Query::new_nearest(query_document))
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.build(),
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)
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.await?;
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println!("Result: {:?}", result);
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```
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-5
@@ -1,11 +1,6 @@
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```typescript
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import {QdrantClient} from "@qdrant/js-client-rest";
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const client = new QdrantClient({
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url: 'https://xyz-example.qdrant.io:6333',
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apiKey: '<paste-your-api-key-here>',
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});
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const points = [
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{
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id: 1,
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@@ -0,0 +1,47 @@
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package snippet
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import (
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"context"
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"github.com/qdrant/go-client/qdrant"
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)
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func Main() {
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// @hide-start
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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "xyz-example.qdrant.io",
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Port: 6334,
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APIKey: "<paste-your-api-key-here>",
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UseTLS: true,
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})
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// @hide-end
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if err != nil { panic(err) } // @hide
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defer client.Close() // @hide
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client.Upsert(context.Background(), &qdrant.UpsertPoints{
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CollectionName: "<your-collection>",
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Points: []*qdrant.PointStruct{
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{
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Id: qdrant.NewIDNum(1),
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Vectors: qdrant.NewVectorsImage(&qdrant.Image{
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Model: "qdrant/clip-vit-b-32-vision",
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Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
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}),
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Payload: qdrant.NewValueMap(map[string]any{
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"title": "Example image",
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}),
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},
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},
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})
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client.Query(context.Background(), &qdrant.QueryPoints{
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CollectionName: "<your-collection>",
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Query: qdrant.NewQueryNearest(
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qdrant.NewVectorInputDocument(&qdrant.Document{
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Text: "Mission to Mars",
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Model: "qdrant/clip-vit-b-32-text",
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}),
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),
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})
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}
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@@ -1,57 +0,0 @@
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```go
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package main
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import (
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"context"
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"log"
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"time"
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"github.com/qdrant/go-client/qdrant"
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)
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func main() {
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ctx, cancel := context.WithTimeout(context.Background(), time.Second)
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defer cancel()
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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "xyz-example.qdrant.io",
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Port: 6334,
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APIKey: "<paste-your-api-key-here>",
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UseTLS: true,
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})
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if err != nil {
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log.Fatalf("did not connect: %v", err)
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}
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defer client.Close()
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_, err = client.Upsert(ctx, &qdrant.UpsertPoints{
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CollectionName: "<your-collection>",
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Points: []*qdrant.PointStruct{
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{
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Id: qdrant.NewIDNum(1),
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Vectors: qdrant.NewVectorsImage(&qdrant.Image{
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Model: "qdrant/clip-vit-b-32-vision",
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Image: qdrant.NewValueString("https://qdrant.tech/example.png"),
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}),
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Payload: qdrant.NewValueMap(map[string]any{
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"title": "Example image",
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}),
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},
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},
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})
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if err != nil {
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log.Fatalf("error creating point: %v", err)
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}
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points, err := client.Query(ctx, &qdrant.QueryPoints{
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CollectionName: "<your-collection>",
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Query: qdrant.NewQueryNearest(
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qdrant.NewVectorInputDocument(&qdrant.Document{
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Text: "Mission to Mars",
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Model: "qdrant/clip-vit-b-32-text",
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}),
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),
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})
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log.Printf("List of points: %s", points)
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}
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```
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+59
@@ -0,0 +1,59 @@
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package com.example.snippets_amalgamation;
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import static io.qdrant.client.PointIdFactory.id;
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import static io.qdrant.client.QueryFactory.nearest;
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import static io.qdrant.client.ValueFactory.value;
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import static io.qdrant.client.VectorsFactory.vectors;
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import io.qdrant.client.QdrantClient;
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import io.qdrant.client.QdrantGrpcClient;
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import io.qdrant.client.grpc.Points;
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import io.qdrant.client.grpc.Points.Document;
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import io.qdrant.client.grpc.Points.Image;
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import io.qdrant.client.grpc.Points.PointStruct;
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import java.util.List;
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import java.util.Map;
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public class Snippet {
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public static void run() throws Exception {
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// @hide-start
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QdrantClient client =
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new QdrantClient(
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QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
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.withApiKey("<paste-your-api-key-here>")
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.build());
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// @hide-end
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client
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.upsertAsync(
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"<your-collection>",
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List.of(
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PointStruct.newBuilder()
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.setId(id(1))
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.setVectors(
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vectors(
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Image.newBuilder()
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.setImage(value("https://qdrant.tech/example.png"))
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.setModel("qdrant/clip-vit-b-32-vision")
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.build()))
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.putAllPayload(Map.of("title", value("Example Image")))
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.build()))
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.get();
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List<Points.ScoredPoint> points =
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client
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.queryAsync(
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Points.QueryPoints.newBuilder()
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.setCollectionName("<your-collection>")
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.setQuery(
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nearest(
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Document.newBuilder()
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.setText("Mission to Mars")
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.setModel("qdrant/clip-vit-b-32-text")
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.build()))
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.build())
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.get();
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System.out.printf(points.toString());
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}
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}
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@@ -1,59 +0,0 @@
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```java
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package org.example;
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import static io.qdrant.client.PointIdFactory.id;
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import static io.qdrant.client.QueryFactory.nearest;
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import static io.qdrant.client.ValueFactory.value;
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import static io.qdrant.client.VectorsFactory.vectors;
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import io.qdrant.client.grpc.Points;
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import io.qdrant.client.grpc.Points.Document;
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import io.qdrant.client.grpc.Points.Image;
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import io.qdrant.client.grpc.Points.PointStruct;
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import java.util.List;
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import java.util.Map;
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import java.util.concurrent.ExecutionException;
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public class Main {
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public static void main(String[] args)
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throws ExecutionException, InterruptedException {
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QdrantClient client =
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new QdrantClient(
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QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
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.withApiKey("<paste-your-api-key-here>")
|
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.build());
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|
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client
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.upsertAsync(
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"<your-collection>",
|
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List.of(
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PointStruct.newBuilder()
|
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.setId(id(1))
|
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.setVectors(
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vectors(
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Image.newBuilder()
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.setImage(value("https://qdrant.tech/example.png"))
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.setModel("qdrant/clip-vit-b-32-vision")
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.build()))
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.putAllPayload(Map.of("title", value("Example Image")))
|
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.build()))
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.get();
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|
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List <Points.ScoredPoint> points =
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client
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.queryAsync(
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Points.QueryPoints.newBuilder()
|
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.setCollectionName("<your-collection>")
|
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.setQuery(
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nearest(
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Document.newBuilder()
|
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.setText("Mission to Mars")
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.setModel("qdrant/clip-vit-b-32-text")
|
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.build()))
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.build())
|
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.get();
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|
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System.out.printf(points.toString());
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}
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}
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```
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@@ -1,47 +0,0 @@
|
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```rust
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use qdrant_client::qdrant::Query;
|
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use qdrant_client::qdrant::QueryPointsBuilder;
|
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use qdrant_client::Payload;
|
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use qdrant_client::Qdrant;
|
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use qdrant_client::qdrant::{Document, Image};
|
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use qdrant_client::qdrant::{PointStruct, UpsertPointsBuilder};
|
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|
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#[tokio::main]
|
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async fn main() {
|
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let client = Qdrant::from_url("https://xyz-example.qdrant.io:6334")
|
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.api_key("<paste-your-api-key-here>")
|
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.build()
|
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.unwrap();
|
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|
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let points = vec![
|
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PointStruct::new(
|
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1,
|
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Image::new_from_url(
|
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"https://qdrant.tech/example.png",
|
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"qdrant/clip-vit-b-32-vision"
|
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),
|
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Payload::try_from(serde_json::json!({
|
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"title": "Example Image"
|
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})).unwrap(),
|
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)
|
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];
|
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|
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let upsert_request = UpsertPointsBuilder::new(
|
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"<your-collection>",
|
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points
|
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).wait(true);
|
||||
|
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let _ = client.upsert_points(upsert_request).await;
|
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|
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let query_document = Document::new(
|
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"Mission to Mars",
|
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"qdrant/clip-vit-b-32-text"
|
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);
|
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|
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let query_request = QueryPointsBuilder::new("<your-collection>")
|
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.query(Query::new_nearest(query_document));
|
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|
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let result = client.query(query_request).await.unwrap();
|
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println!("Result: {:?}", result);
|
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}
|
||||
```
|
||||
@@ -0,0 +1,46 @@
|
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use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, Image, PointStruct, Query, QueryPointsBuilder, UpsertPointsBuilder},
|
||||
};
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
// @hide-start
|
||||
let client = Qdrant::from_url("https://xyz-example.qdrant.io:6334")
|
||||
.api_key("<paste-your-api-key-here>")
|
||||
.build()?;
|
||||
// @hide-end
|
||||
|
||||
let points = vec![PointStruct::new(
|
||||
1,
|
||||
Image {
|
||||
image: Some("https://qdrant.tech/example.png".into()),
|
||||
model: "qdrant/clip-vit-b-32-vision".into(),
|
||||
..Default::default()
|
||||
},
|
||||
Payload::try_from(serde_json::json!({
|
||||
"title": "Example Image"
|
||||
}))?,
|
||||
)];
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new("<your-collection>", points).wait(true))
|
||||
.await?;
|
||||
|
||||
let query_document = Document {
|
||||
text: "Mission to Mars".into(),
|
||||
model: "qdrant/clip-vit-b-32-text".into(),
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
let result = client
|
||||
.query(
|
||||
QueryPointsBuilder::new("<your-collection>")
|
||||
.query(Query::new_nearest(query_document))
|
||||
.build(),
|
||||
)
|
||||
.await?;
|
||||
|
||||
println!("Result: {:?}", result);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
+2
@@ -1,9 +1,11 @@
|
||||
import {QdrantClient} from "@qdrant/js-client-rest";
|
||||
|
||||
// @hide-start
|
||||
const client = new QdrantClient({
|
||||
url: 'https://xyz-example.qdrant.io:6333',
|
||||
apiKey: '<paste-your-api-key-here>',
|
||||
});
|
||||
// @hide-end
|
||||
|
||||
const points = [
|
||||
{
|
||||
|
||||
+34
@@ -0,0 +1,34 @@
|
||||
```go
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(1),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
Payload: qdrant.NewValueMap(map[string]any{
|
||||
"topic": "cooking",
|
||||
"type": "dessert",
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "How to bake cookies?",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
),
|
||||
})
|
||||
```
|
||||
+46
@@ -0,0 +1,46 @@
|
||||
```java
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.grpc.Points;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"<your-collection>",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.putAllPayload(Map.of("topic", value("cooking"), "type", value("dessert")))
|
||||
.build()))
|
||||
.get();
|
||||
|
||||
List<Points.ScoredPoint> points =
|
||||
client
|
||||
.queryAsync(
|
||||
Points.QueryPoints.newBuilder()
|
||||
.setCollectionName("<your-collection>")
|
||||
.setQuery(
|
||||
nearest(
|
||||
Document.newBuilder()
|
||||
.setText("How to bake cookies?")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
|
||||
System.out.printf(points.toString());
|
||||
```
|
||||
+38
@@ -0,0 +1,38 @@
|
||||
```rust
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, Query, QueryPointsBuilder, UpsertPointsBuilder},
|
||||
};
|
||||
|
||||
let points = vec![PointStruct::new(
|
||||
1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "<the-model-to-use>".into(),
|
||||
..Default::default()
|
||||
},
|
||||
Payload::try_from(serde_json::json!(
|
||||
{"topic": "cooking", "type": "dessert"}
|
||||
))?,
|
||||
)];
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new("<your-collection>", points).wait(true))
|
||||
.await?;
|
||||
|
||||
let query_document = Document {
|
||||
text: "How to bake cookies?".into(),
|
||||
model: "<the-model-to-use>".into(),
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
let result = client
|
||||
.query(
|
||||
QueryPointsBuilder::new("<your-collection>")
|
||||
.query(Query::new_nearest(query_document))
|
||||
.build(),
|
||||
)
|
||||
.await?;
|
||||
|
||||
println!("Result: {:?}", result);
|
||||
```
|
||||
-5
@@ -1,11 +1,6 @@
|
||||
```typescript
|
||||
import {QdrantClient} from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({
|
||||
url: 'https://xyz-example.qdrant.io:6333',
|
||||
apiKey: '<paste-your-api-key-here>',
|
||||
});
|
||||
|
||||
const points = [
|
||||
{
|
||||
id: 1,
|
||||
|
||||
@@ -0,0 +1,48 @@
|
||||
package snippet
|
||||
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
defer client.Close() // @hide
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(1),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
Payload: qdrant.NewValueMap(map[string]any{
|
||||
"topic": "cooking",
|
||||
"type": "dessert",
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "How to bake cookies?",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
),
|
||||
})
|
||||
}
|
||||
@@ -1,58 +0,0 @@
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"context"
|
||||
"log"
|
||||
"time"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
func main() {
|
||||
ctx, cancel := context.WithTimeout(context.Background(), time.Second)
|
||||
defer cancel()
|
||||
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
if err != nil {
|
||||
log.Fatalf("did not connect: %v", err)
|
||||
}
|
||||
defer client.Close()
|
||||
|
||||
_, err = client.Upsert(ctx, &qdrant.UpsertPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(1),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
Payload: qdrant.NewValueMap(map[string]any{
|
||||
"topic": "cooking",
|
||||
"type": "dessert",
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
if err != nil {
|
||||
log.Fatalf("error creating point: %v", err)
|
||||
}
|
||||
|
||||
points, err := client.Query(ctx, &qdrant.QueryPoints{
|
||||
CollectionName: "<your-collection>",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "How to bake cookies?",
|
||||
Model: "<the-model-to-use>",
|
||||
}),
|
||||
),
|
||||
})
|
||||
log.Printf("List of points: %s", points)
|
||||
}
|
||||
```
|
||||
+58
@@ -0,0 +1,58 @@
|
||||
package com.example.snippets_amalgamation;
|
||||
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.grpc.Points;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<paste-your-api-key-here>")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"<your-collection>",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.putAllPayload(Map.of("topic", value("cooking"), "type", value("dessert")))
|
||||
.build()))
|
||||
.get();
|
||||
|
||||
List<Points.ScoredPoint> points =
|
||||
client
|
||||
.queryAsync(
|
||||
Points.QueryPoints.newBuilder()
|
||||
.setCollectionName("<your-collection>")
|
||||
.setQuery(
|
||||
nearest(
|
||||
Document.newBuilder()
|
||||
.setText("How to bake cookies?")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
|
||||
System.out.printf(points.toString());
|
||||
}
|
||||
}
|
||||
@@ -1,58 +0,0 @@
|
||||
```java
|
||||
package org.example;
|
||||
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.qdrant.client.grpc.Points;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.concurrent.ExecutionException;
|
||||
|
||||
public class Main {
|
||||
public static void main(String[] args)
|
||||
throws ExecutionException, InterruptedException {
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<paste-your-api-key-here>")
|
||||
.build());
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"<your-collection>",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.putAllPayload(Map.of("topic", value("cooking"), "type", value("dessert")))
|
||||
.build()))
|
||||
.get();
|
||||
|
||||
List <Points.ScoredPoint> points =
|
||||
client
|
||||
.queryAsync(
|
||||
Points.QueryPoints.newBuilder()
|
||||
.setCollectionName("<your-collection>")
|
||||
.setQuery(
|
||||
nearest(
|
||||
Document.newBuilder()
|
||||
.setText("How to bake cookies?")
|
||||
.setModel("<the-model-to-use>")
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
|
||||
System.out.printf(points.toString());
|
||||
}
|
||||
}
|
||||
```
|
||||
@@ -1,47 +0,0 @@
|
||||
```rust
|
||||
use qdrant_client::qdrant::Query;
|
||||
use qdrant_client::qdrant::QueryPointsBuilder;
|
||||
use qdrant_client::Payload;
|
||||
use qdrant_client::Qdrant;
|
||||
use qdrant_client::qdrant::{Document};
|
||||
use qdrant_client::qdrant::{PointStruct, UpsertPointsBuilder};
|
||||
|
||||
#[tokio::main]
|
||||
async fn main() {
|
||||
let client = Qdrant::from_url("https://xyz-example.qdrant.io:6334")
|
||||
.api_key("<paste-your-api-key-here>")
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let points = vec![
|
||||
PointStruct::new(
|
||||
1,
|
||||
Document::new(
|
||||
"Recipe for baking chocolate chip cookies",
|
||||
"<the-model-to-use>"
|
||||
),
|
||||
Payload::try_from(serde_json::json!(
|
||||
{"topic": "cooking", "type": "dessert"}
|
||||
)).unwrap(),
|
||||
)
|
||||
];
|
||||
|
||||
let upsert_request = UpsertPointsBuilder::new(
|
||||
"<your-collection>",
|
||||
points
|
||||
).wait(true);
|
||||
|
||||
let _ = client.upsert_points(upsert_request).await;
|
||||
|
||||
let query_document = Document::new(
|
||||
"How to bake cookies?",
|
||||
"<the-model-to-use>"
|
||||
);
|
||||
|
||||
let query_request = QueryPointsBuilder::new("<your-collection>")
|
||||
.query(Query::new_nearest(query_document));
|
||||
|
||||
let result = client.query(query_request).await.unwrap();
|
||||
println!("Result: {:?}", result);
|
||||
}
|
||||
```
|
||||
@@ -0,0 +1,46 @@
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, Query, QueryPointsBuilder, UpsertPointsBuilder},
|
||||
};
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
// @hide-start
|
||||
let client = Qdrant::from_url("https://xyz-example.qdrant.io:6334")
|
||||
.api_key("<paste-your-api-key-here>")
|
||||
.build()?;
|
||||
// @hide-end
|
||||
|
||||
let points = vec![PointStruct::new(
|
||||
1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "<the-model-to-use>".into(),
|
||||
..Default::default()
|
||||
},
|
||||
Payload::try_from(serde_json::json!(
|
||||
{"topic": "cooking", "type": "dessert"}
|
||||
))?,
|
||||
)];
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new("<your-collection>", points).wait(true))
|
||||
.await?;
|
||||
|
||||
let query_document = Document {
|
||||
text: "How to bake cookies?".into(),
|
||||
model: "<the-model-to-use>".into(),
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
let result = client
|
||||
.query(
|
||||
QueryPointsBuilder::new("<your-collection>")
|
||||
.query(Query::new_nearest(query_document))
|
||||
.build(),
|
||||
)
|
||||
.await?;
|
||||
|
||||
println!("Result: {:?}", result);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
+2
-1
@@ -1,10 +1,11 @@
|
||||
import {QdrantClient} from "@qdrant/js-client-rest";
|
||||
|
||||
// @hide-start
|
||||
const client = new QdrantClient({
|
||||
url: 'https://xyz-example.qdrant.io:6333',
|
||||
apiKey: '<paste-your-api-key-here>',
|
||||
});
|
||||
|
||||
// @hide-end
|
||||
const points = [
|
||||
{
|
||||
id: 1,
|
||||
|
||||
+12
-9
@@ -5,21 +5,24 @@ public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
// @hide-end
|
||||
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Text = "a green square",
|
||||
Options = { ["cohere-api-key"] = "<YOUR_COHERE_API_KEY>", ["output_dimension"] = 512 },
|
||||
}
|
||||
);
|
||||
using (RequestHeaders.Use("cohere-api-key", "<YOUR_COHERE_API_KEY>"))
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Text = "a green square",
|
||||
Options = { ["output_dimension"] = 512 },
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
+10
-16
@@ -2,20 +2,14 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Text = "a green square",
|
||||
Options = { ["cohere-api-key"] = "<YOUR_COHERE_API_KEY>", ["output_dimension"] = 512 },
|
||||
}
|
||||
);
|
||||
using (RequestHeaders.Use("cohere-api-key", "<YOUR_COHERE_API_KEY>"))
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Text = "a green square",
|
||||
Options = { ["output_dimension"] = 512 },
|
||||
}
|
||||
);
|
||||
```
|
||||
|
||||
+2
-8
@@ -5,21 +5,15 @@ import (
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
ctx := qdrant.WithHeader(context.Background(), "cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
client.Query(ctx, &qdrant.QueryPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "a green square",
|
||||
Model: "cohere/embed-v4.0",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
|
||||
"output_dimension": 512,
|
||||
}),
|
||||
}),
|
||||
|
||||
+20
-23
@@ -2,34 +2,31 @@
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.QueryPoints;
|
||||
import java.util.Map;
|
||||
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "cohere-api-key", "<YOUR_COHERE_API_KEY>");
|
||||
|
||||
client
|
||||
.queryAsync(
|
||||
QueryPoints.newBuilder()
|
||||
.setCollectionName("{collection_name}")
|
||||
.setQuery(
|
||||
nearest(
|
||||
Document.newBuilder()
|
||||
.setModel("cohere/embed-v4.0")
|
||||
.setText("a green square")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"cohere-api-key",
|
||||
value("<YOUR_COHERE_API_KEY>"),
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
ctx.call(() -> client
|
||||
.queryAsync(
|
||||
QueryPoints.newBuilder()
|
||||
.setCollectionName("{collection_name}")
|
||||
.setQuery(
|
||||
nearest(
|
||||
Document.newBuilder()
|
||||
.setModel("cohere/embed-v4.0")
|
||||
.setText("a green square")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build())
|
||||
.get());
|
||||
```
|
||||
|
||||
+12
-11
@@ -1,21 +1,22 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"cohere-api-key": "<your_cohere_api_key>",
|
||||
"output_dimension": 512
|
||||
}
|
||||
with headers({"cohere-api-key": "<YOUR_COHERE_API_KEY>"}):
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"output_dimension": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
```
|
||||
|
||||
+1
-3
@@ -5,13 +5,11 @@ use qdrant_client::{
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
|
||||
|
||||
let mut options = HashMap::<String, Value>::new();
|
||||
options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
|
||||
options.insert("output_dimension".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
.query(
|
||||
QueryPointsBuilder::new("{collection_name}")
|
||||
.query(Query::new_nearest(Document {
|
||||
|
||||
+11
-12
@@ -1,16 +1,15 @@
|
||||
```typescript
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
'cohere-api-key': '<your_cohere_api_key>',
|
||||
output_dimension: 512,
|
||||
await withHeaders({ 'cohere-api-key': '<YOUR_COHERE_API_KEY>' }, () =>
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
output_dimension: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
})
|
||||
);
|
||||
```
|
||||
|
||||
@@ -7,23 +7,26 @@ import (
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
ctx := qdrant.WithHeader(context.Background(), "cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
|
||||
client.Query(ctx, &qdrant.QueryPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "a green square",
|
||||
Model: "cohere/embed-v4.0",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
|
||||
"output_dimension": 512,
|
||||
}),
|
||||
}),
|
||||
|
||||
+9
-4
@@ -3,21 +3,28 @@ package com.example.snippets_amalgamation;
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.QueryPoints;
|
||||
import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
client
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "cohere-api-key", "<YOUR_COHERE_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.queryAsync(
|
||||
QueryPoints.newBuilder()
|
||||
.setCollectionName("{collection_name}")
|
||||
@@ -28,12 +35,10 @@ public class Snippet {
|
||||
.setText("a green square")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"cohere-api-key",
|
||||
value("<YOUR_COHERE_API_KEY>"),
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
.get());
|
||||
}
|
||||
}
|
||||
|
||||
+12
-11
@@ -1,19 +1,20 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"cohere-api-key": "<your_cohere_api_key>",
|
||||
"output_dimension": 512
|
||||
}
|
||||
with headers({"cohere-api-key": "<YOUR_COHERE_API_KEY>"}):
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"output_dimension": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
+2
-2
@@ -5,13 +5,13 @@ use qdrant_client::{
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("http://localhost:6333").build().unwrap();
|
||||
let client = Qdrant::from_url("http://localhost:6333").build().unwrap(); // @hide
|
||||
|
||||
let mut options = HashMap::<String, Value>::new();
|
||||
options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
|
||||
options.insert("output_dimension".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
.query(
|
||||
QueryPointsBuilder::new("{collection_name}")
|
||||
.query(Query::new_nearest(Document {
|
||||
|
||||
+12
-11
@@ -1,14 +1,15 @@
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
'cohere-api-key': '<your_cohere_api_key>',
|
||||
output_dimension: 512,
|
||||
await withHeaders({ 'cohere-api-key': '<YOUR_COHERE_API_KEY>' }, () =>
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
output_dimension: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
})
|
||||
);
|
||||
|
||||
+18
-16
@@ -5,29 +5,31 @@ public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io", port: 6334, https: true, apiKey: "<your-api-key>");
|
||||
// @hide-end
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
using (RequestHeaders.Use("cohere-api-key", "<YOUR_COHERE_API_KEY>"))
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Image()
|
||||
new()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Image_ =
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
Options =
|
||||
Id = 1,
|
||||
Vectors = new Image()
|
||||
{
|
||||
["cohere-api-key"] = "<YOUR_COHERE_API_KEY>",
|
||||
["output_dimension"] = 512,
|
||||
Model = "cohere/embed-v4.0",
|
||||
Image_ =
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
Options =
|
||||
{
|
||||
["output_dimension"] = 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
+16
-19
@@ -2,28 +2,25 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io", port: 6334, https: true, apiKey: "<your-api-key>");
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
using (RequestHeaders.Use("cohere-api-key", "<YOUR_COHERE_API_KEY>"))
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Image()
|
||||
new()
|
||||
{
|
||||
Model = "cohere/embed-v4.0",
|
||||
Image_ =
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
Options =
|
||||
Id = 1,
|
||||
Vectors = new Image()
|
||||
{
|
||||
["cohere-api-key"] = "<YOUR_COHERE_API_KEY>",
|
||||
["output_dimension"] = 512,
|
||||
Model = "cohere/embed-v4.0",
|
||||
Image_ =
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
Options =
|
||||
{
|
||||
["output_dimension"] = 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
}
|
||||
);
|
||||
```
|
||||
|
||||
+2
-8
@@ -5,14 +5,9 @@ import (
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
ctx := qdrant.WithHeader(context.Background(), "cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
client.Upsert(ctx, &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
@@ -21,7 +16,6 @@ client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
Model: "cohere/embed-v4.0",
|
||||
Image: qdrant.NewValueString("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"),
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
|
||||
"output_dimension": 512,
|
||||
}),
|
||||
}),
|
||||
|
||||
+24
-27
@@ -3,39 +3,36 @@ import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Image;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "cohere-api-key", "<YOUR_COHERE_API_KEY>");
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Image.newBuilder()
|
||||
.setModel("cohere/embed-v4.0")
|
||||
.setImage(
|
||||
value(
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"))
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"cohere-api-key",
|
||||
value("<YOUR_COHERE_API_KEY>"),
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build()))
|
||||
.get();
|
||||
ctx.call(() -> client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Image.newBuilder()
|
||||
.setModel("cohere/embed-v4.0")
|
||||
.setImage(
|
||||
value(
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"))
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build()))
|
||||
.get());
|
||||
```
|
||||
|
||||
+17
-16
@@ -1,26 +1,27 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"cohere-api-key": "<your_cohere_api_key>",
|
||||
"output_dimension": 512
|
||||
}
|
||||
with headers({"cohere-api-key": "<YOUR_COHERE_API_KEY>"}):
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Image(
|
||||
image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"output_dimension": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
]
|
||||
)
|
||||
```
|
||||
|
||||
+5
-6
@@ -1,22 +1,21 @@
|
||||
```rust
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
qdrant::{Image, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?;
|
||||
let mut options = HashMap::new();
|
||||
options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
|
||||
options.insert("output_dimension".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
.upsert_points(UpsertPointsBuilder::new("{collection_name}",
|
||||
vec![
|
||||
PointStruct::new(1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies requires flour, sugar, eggs, and chocolate chips.".into(),
|
||||
model: "openai/text-embedding-3-small".into(),
|
||||
Image {
|
||||
image: Some("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC".into()),
|
||||
model: "cohere/embed-v4.0".into(),
|
||||
options,
|
||||
},
|
||||
Payload::default())
|
||||
|
||||
+15
-16
@@ -1,21 +1,20 @@
|
||||
```typescript
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
'cohere-api-key': '<your_cohere_api_key>',
|
||||
output_dimension: 512,
|
||||
await withHeaders({ 'cohere-api-key': '<YOUR_COHERE_API_KEY>' }, () =>
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
image: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
output_dimension: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
],
|
||||
})
|
||||
);
|
||||
```
|
||||
|
||||
+5
-2
@@ -7,16 +7,20 @@ import (
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
ctx := qdrant.WithHeader(context.Background(), "cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
|
||||
client.Upsert(ctx, &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
@@ -25,7 +29,6 @@ func Main() {
|
||||
Model: "cohere/embed-v4.0",
|
||||
Image: qdrant.NewValueString("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"),
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"cohere-api-key": "<YOUR_COHERE_API_KEY>",
|
||||
"output_dimension": 512,
|
||||
}),
|
||||
}),
|
||||
|
||||
+9
-4
@@ -4,8 +4,10 @@ import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Image;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
@@ -13,13 +15,18 @@ import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
client
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "cohere-api-key", "<YOUR_COHERE_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
@@ -34,12 +41,10 @@ public class Snippet {
|
||||
"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC"))
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"cohere-api-key",
|
||||
value("<YOUR_COHERE_API_KEY>"),
|
||||
"output_dimension",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build()))
|
||||
.get();
|
||||
.get());
|
||||
}
|
||||
}
|
||||
|
||||
+17
-16
@@ -1,24 +1,25 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="a green square",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"cohere-api-key": "<your_cohere_api_key>",
|
||||
"output_dimension": 512
|
||||
}
|
||||
with headers({"cohere-api-key": "<YOUR_COHERE_API_KEY>"}):
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Image(
|
||||
image="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC",
|
||||
model="cohere/embed-v4.0",
|
||||
options={
|
||||
"output_dimension": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
+6
-6
@@ -1,22 +1,22 @@
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
qdrant::{Image, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?;
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?; // @hide
|
||||
let mut options = HashMap::new();
|
||||
options.insert("cohere-api-key".to_string(), "<YOUR_COHERE_API_KEY>".into());
|
||||
options.insert("output_dimension".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("cohere-api-key", "<YOUR_COHERE_API_KEY>")
|
||||
.upsert_points(UpsertPointsBuilder::new("{collection_name}",
|
||||
vec![
|
||||
PointStruct::new(1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies requires flour, sugar, eggs, and chocolate chips.".into(),
|
||||
model: "openai/text-embedding-3-small".into(),
|
||||
Image {
|
||||
image: Some("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC".into()),
|
||||
model: "cohere/embed-v4.0".into(),
|
||||
options,
|
||||
},
|
||||
Payload::default())
|
||||
|
||||
+16
-15
@@ -1,19 +1,20 @@
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'a green square',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
'cohere-api-key': '<your_cohere_api_key>',
|
||||
output_dimension: 512,
|
||||
await withHeaders({ 'cohere-api-key': '<YOUR_COHERE_API_KEY>' }, () =>
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
image: 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mNk+M9Qz0AEYBxVSF+FAAhKDveksOjmAAAAAElFTkSuQmCC',
|
||||
model: 'cohere/embed-v4.0',
|
||||
options: {
|
||||
output_dimension: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
],
|
||||
})
|
||||
);
|
||||
|
||||
+1
@@ -0,0 +1 @@
|
||||
This example upserts a point using OpenAI's `text-embedding-3-large` model. The OpenAI API key is passed in the `options` object in the request body.
|
||||
+30
@@ -0,0 +1,30 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io", port: 6334, https: true, apiKey: "<your-api-key>");
|
||||
// @hide-end
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Document()
|
||||
{
|
||||
Model = "openai/text-embedding-3-large",
|
||||
Text = "Recipe for baking chocolate chip cookies",
|
||||
Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>"},
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
+21
@@ -0,0 +1,21 @@
|
||||
```csharp
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Document()
|
||||
{
|
||||
Model = "openai/text-embedding-3-large",
|
||||
Text = "Recipe for baking chocolate chip cookies",
|
||||
Options = { ["openai-api-key"] = "<YOUR_OPENAI_API_KEY>"},
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
```
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
```go
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(uint64(1)),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Model: "openai/text-embedding-3-large",
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"openai-api-key": "<YOUR_OPENAI_API_KEY>",
|
||||
}),
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
```
|
||||
+31
@@ -0,0 +1,31 @@
|
||||
```java
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setModel("openai/text-embedding-3-large")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"openai-api-key",
|
||||
value("<YOUR_OPENAI_API_KEY>")))
|
||||
.build()))
|
||||
.build()))
|
||||
.get();
|
||||
```
|
||||
+25
@@ -0,0 +1,25 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="Recipe for baking chocolate chip cookies",
|
||||
model="openai/text-embedding-3-large",
|
||||
options={
|
||||
"openai-api-key": "<your_openai_api_key>"
|
||||
}
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
```
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
```rust
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
let mut options = HashMap::new();
|
||||
options.insert("openai-api-key".to_string(), "<YOUR_OPENAI_API_KEY>".into());
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new("{collection_name}",
|
||||
vec![
|
||||
PointStruct::new(1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "openai/text-embedding-3-large".into(),
|
||||
options,
|
||||
},
|
||||
Payload::default())
|
||||
]).wait(true))
|
||||
.await?;
|
||||
```
|
||||
+18
@@ -0,0 +1,18 @@
|
||||
```typescript
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'Recipe for baking chocolate chip cookies',
|
||||
model: 'openai/text-embedding-3-large',
|
||||
options: {
|
||||
'openai-api-key': '<your_openai_api_key>',
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
```
|
||||
+36
@@ -0,0 +1,36 @@
|
||||
package snippet
|
||||
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(uint64(1)),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Model: "openai/text-embedding-3-large",
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"openai-api-key": "<YOUR_OPENAI_API_KEY>",
|
||||
}),
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
}
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
```http
|
||||
PUT /collections/{collection_name}/points?wait=true
|
||||
{
|
||||
"points": [
|
||||
{
|
||||
"id": 1,
|
||||
"vector": {
|
||||
"text": "Recipe for baking chocolate chip cookies",
|
||||
"model": "openai/text-embedding-3-large",
|
||||
"options": {
|
||||
"openai-api-key": "<YOUR_OPENAI_API_KEY>"
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
+43
@@ -0,0 +1,43 @@
|
||||
package com.example.snippets_amalgamation;
|
||||
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setModel("openai/text-embedding-3-large")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"openai-api-key",
|
||||
value("<YOUR_OPENAI_API_KEY>")))
|
||||
.build()))
|
||||
.build()))
|
||||
.get();
|
||||
}
|
||||
}
|
||||
+23
@@ -0,0 +1,23 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="Recipe for baking chocolate chip cookies",
|
||||
model="openai/text-embedding-3-large",
|
||||
options={
|
||||
"openai-api-key": "<your_openai_api_key>"
|
||||
}
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
+26
@@ -0,0 +1,26 @@
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?; // @hide
|
||||
let mut options = HashMap::new();
|
||||
options.insert("openai-api-key".to_string(), "<YOUR_OPENAI_API_KEY>".into());
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new("{collection_name}",
|
||||
vec![
|
||||
PointStruct::new(1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "openai/text-embedding-3-large".into(),
|
||||
options,
|
||||
},
|
||||
Payload::default())
|
||||
]).wait(true))
|
||||
.await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
+18
@@ -0,0 +1,18 @@
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'Recipe for baking chocolate chip cookies',
|
||||
model: 'openai/text-embedding-3-large',
|
||||
options: {
|
||||
'openai-api-key': '<your_openai_api_key>',
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
+1
@@ -0,0 +1 @@
|
||||
This example upserts a point using OpenAI's `text-embedding-3-large` model. The OpenAI API key is passed in the `openai-api-key` request header.
|
||||
+34
@@ -0,0 +1,34 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
// @hide-end
|
||||
|
||||
using (RequestHeaders.Use("openai-api-key", "<YOUR_OPENAI_API_KEY>"))
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Document()
|
||||
{
|
||||
Model = "openai/text-embedding-3-large",
|
||||
Text = "Recipe for baking chocolate chip cookies",
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
+21
@@ -0,0 +1,21 @@
|
||||
```csharp
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
using (RequestHeaders.Use("openai-api-key", "<YOUR_OPENAI_API_KEY>"))
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Document()
|
||||
{
|
||||
Model = "openai/text-embedding-3-large",
|
||||
Text = "Recipe for baking chocolate chip cookies",
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
```
|
||||
+22
@@ -0,0 +1,22 @@
|
||||
```go
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
ctx := qdrant.WithHeader(context.Background(), "openai-api-key", "<YOUR_OPENAI_API_KEY>")
|
||||
|
||||
client.Upsert(ctx, &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(uint64(1)),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Model: "openai/text-embedding-3-large",
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
```
|
||||
+30
@@ -0,0 +1,30 @@
|
||||
```java
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "openai-api-key", "<YOUR_OPENAI_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setModel("openai/text-embedding-3-large")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.build()))
|
||||
.build()))
|
||||
.get());
|
||||
```
|
||||
+24
@@ -0,0 +1,24 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
with headers({"openai-api-key": "<YOUR_OPENAI_API_KEY>"}):
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="Recipe for baking chocolate chip cookies",
|
||||
model="openai/text-embedding-3-large",
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
```
|
||||
+26
@@ -0,0 +1,26 @@
|
||||
```rust
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
client
|
||||
.with_header("openai-api-key", "<YOUR_OPENAI_API_KEY>")
|
||||
.upsert_points(
|
||||
UpsertPointsBuilder::new(
|
||||
"{collection_name}",
|
||||
vec![PointStruct::new(
|
||||
1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "openai/text-embedding-3-large".into(),
|
||||
options: HashMap::new(),
|
||||
},
|
||||
Payload::default(),
|
||||
)],
|
||||
)
|
||||
.wait(true),
|
||||
)
|
||||
.await?;
|
||||
```
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
```typescript
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
await withHeaders({ 'openai-api-key': '<YOUR_OPENAI_API_KEY>' }, () =>
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'Recipe for baking chocolate chip cookies',
|
||||
model: 'openai/text-embedding-3-large',
|
||||
},
|
||||
},
|
||||
],
|
||||
})
|
||||
);
|
||||
```
|
||||
+35
@@ -0,0 +1,35 @@
|
||||
package snippet
|
||||
|
||||
import (
|
||||
"context"
|
||||
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
ctx := qdrant.WithHeader(context.Background(), "openai-api-key", "<YOUR_OPENAI_API_KEY>")
|
||||
|
||||
client.Upsert(ctx, &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
{
|
||||
Id: qdrant.NewIDNum(uint64(1)),
|
||||
Vectors: qdrant.NewVectorsDocument(&qdrant.Document{
|
||||
Model: "openai/text-embedding-3-large",
|
||||
Text: "Recipe for baking chocolate chip cookies",
|
||||
}),
|
||||
},
|
||||
},
|
||||
})
|
||||
}
|
||||
+42
@@ -0,0 +1,42 @@
|
||||
package com.example.snippets_amalgamation;
|
||||
|
||||
import static io.qdrant.client.PointIdFactory.id;
|
||||
import static io.qdrant.client.VectorsFactory.vectors;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "openai-api-key", "<YOUR_OPENAI_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
vectors(
|
||||
Document.newBuilder()
|
||||
.setModel("openai/text-embedding-3-large")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.build()))
|
||||
.build()))
|
||||
.get());
|
||||
}
|
||||
}
|
||||
+22
@@ -0,0 +1,22 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
with headers({"openai-api-key": "<YOUR_OPENAI_API_KEY>"}):
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
models.PointStruct(
|
||||
id=1,
|
||||
vector=models.Document(
|
||||
text="Recipe for baking chocolate chip cookies",
|
||||
model="openai/text-embedding-3-large",
|
||||
)
|
||||
)
|
||||
]
|
||||
)
|
||||
+30
@@ -0,0 +1,30 @@
|
||||
use qdrant_client::{
|
||||
Payload, Qdrant,
|
||||
qdrant::{Document, PointStruct, UpsertPointsBuilder},
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?; // @hide
|
||||
|
||||
client
|
||||
.with_header("openai-api-key", "<YOUR_OPENAI_API_KEY>")
|
||||
.upsert_points(
|
||||
UpsertPointsBuilder::new(
|
||||
"{collection_name}",
|
||||
vec![PointStruct::new(
|
||||
1,
|
||||
Document {
|
||||
text: "Recipe for baking chocolate chip cookies".into(),
|
||||
model: "openai/text-embedding-3-large".into(),
|
||||
options: HashMap::new(),
|
||||
},
|
||||
Payload::default(),
|
||||
)],
|
||||
)
|
||||
.wait(true),
|
||||
)
|
||||
.await?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
+17
@@ -0,0 +1,17 @@
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
await withHeaders({ 'openai-api-key': '<YOUR_OPENAI_API_KEY>' }, () =>
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
id: 1,
|
||||
vector: {
|
||||
text: 'Recipe for baking chocolate chip cookies',
|
||||
model: 'openai/text-embedding-3-large',
|
||||
},
|
||||
},
|
||||
],
|
||||
})
|
||||
);
|
||||
@@ -5,8 +5,10 @@ public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io", port: 6334, https: true, apiKey: "<your-api-key>");
|
||||
// @hide-end
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
|
||||
-3
@@ -2,9 +2,6 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io", port: 6334, https: true, apiKey: "<your-api-key>");
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
|
||||
-7
@@ -5,13 +5,6 @@ import (
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
|
||||
client.Upsert(context.Background(), &qdrant.UpsertPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Points: []*qdrant.PointStruct{
|
||||
|
||||
+17
-23
@@ -12,27 +12,21 @@ import io.qdrant.client.grpc.Points.PointStruct;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
namedVectors(
|
||||
Map.of(
|
||||
"my-bm25-vector",
|
||||
vector(
|
||||
Document.newBuilder()
|
||||
.setModel("qdrant/bm25")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.build()))))
|
||||
.build()))
|
||||
.get();
|
||||
client
|
||||
.upsertAsync(
|
||||
"{collection_name}",
|
||||
List.of(
|
||||
PointStruct.newBuilder()
|
||||
.setId(id(1))
|
||||
.setVectors(
|
||||
namedVectors(
|
||||
Map.of(
|
||||
"my-bm25-vector",
|
||||
vector(
|
||||
Document.newBuilder()
|
||||
.setModel("qdrant/bm25")
|
||||
.setText("Recipe for baking chocolate chip cookies")
|
||||
.build()))))
|
||||
.build()))
|
||||
.get();
|
||||
```
|
||||
|
||||
-6
@@ -1,12 +1,6 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
points=[
|
||||
|
||||
-2
@@ -5,8 +5,6 @@ use qdrant_client::{
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?;
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new(
|
||||
"{collection_name}",
|
||||
|
||||
-2
@@ -1,8 +1,6 @@
|
||||
```typescript
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
{
|
||||
|
||||
@@ -7,12 +7,14 @@ import (
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
|
||||
@@ -15,11 +15,13 @@ import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
// @hide-end
|
||||
|
||||
client
|
||||
.upsertAsync(
|
||||
|
||||
@@ -1,10 +1,12 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
|
||||
# @hide-start
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
# @hide-end
|
||||
|
||||
client.upsert(
|
||||
collection_name="{collection_name}",
|
||||
|
||||
@@ -5,7 +5,7 @@ use qdrant_client::{
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?;
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build()?; // @hide
|
||||
|
||||
client
|
||||
.upsert_points(UpsertPointsBuilder::new(
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
client.upsert("{collection_name}", {
|
||||
points: [
|
||||
|
||||
+12
-9
@@ -5,21 +5,24 @@ public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
// @hide-end
|
||||
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Text = "Mission to Mars",
|
||||
Options = { ["jina-api-key"] = "<YOUR_JINAAI_API_KEY>", ["dimensions"] = 512 },
|
||||
}
|
||||
);
|
||||
using (RequestHeaders.Use("jina-api-key", "<YOUR_JINAAI_API_KEY>"))
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Text = "Mission to Mars",
|
||||
Options = { ["dimensions"] = 512 },
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
+10
-16
@@ -2,20 +2,14 @@
|
||||
using Qdrant.Client;
|
||||
using Qdrant.Client.Grpc;
|
||||
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Text = "Mission to Mars",
|
||||
Options = { ["jina-api-key"] = "<YOUR_JINAAI_API_KEY>", ["dimensions"] = 512 },
|
||||
}
|
||||
);
|
||||
using (RequestHeaders.Use("jina-api-key", "<YOUR_JINAAI_API_KEY>"))
|
||||
await client.QueryAsync(
|
||||
collectionName: "{collection_name}",
|
||||
query: new Document()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Text = "Mission to Mars",
|
||||
Options = { ["dimensions"] = 512 },
|
||||
}
|
||||
);
|
||||
```
|
||||
|
||||
+3
-9
@@ -5,22 +5,16 @@ import (
|
||||
"github.com/qdrant/go-client/qdrant"
|
||||
)
|
||||
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
ctx := qdrant.WithHeader(context.Background(), "jina-api-key", "<YOUR_JINAAI_API_KEY>")
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
client.Query(ctx, &qdrant.QueryPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "Mission to Mars",
|
||||
Model: "jinaai/jina-clip-v2",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"jina-api-key": "<YOUR_JINAAI_API_KEY>",
|
||||
"dimensions": 512,
|
||||
"dimensions": 512,
|
||||
}),
|
||||
}),
|
||||
),
|
||||
|
||||
+7
-9
@@ -2,18 +2,18 @@
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.QueryPoints;
|
||||
import java.util.Map;
|
||||
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
client
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "jina-api-key", "<YOUR_JINAAI_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.queryAsync(
|
||||
QueryPoints.newBuilder()
|
||||
.setCollectionName("{collection_name}")
|
||||
@@ -24,11 +24,9 @@ client
|
||||
.setText("Mission to Mars")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"jina-api-key",
|
||||
value("<YOUR_JINAAI_API_KEY>"),
|
||||
"dimensions",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
.get());
|
||||
```
|
||||
|
||||
+12
-11
@@ -1,21 +1,22 @@
|
||||
```python
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="Mission to Mars",
|
||||
model="jinaai/jina-clip-v2",
|
||||
options={
|
||||
"jina-api-key": "<your_jinaai_api_key>",
|
||||
"dimensions": 512
|
||||
}
|
||||
with headers({"jina-api-key": "<YOUR_JINAAI_API_KEY>"}):
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="Mission to Mars",
|
||||
model="jinaai/jina-clip-v2",
|
||||
options={
|
||||
"dimensions": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
```
|
||||
|
||||
+1
-3
@@ -5,13 +5,11 @@ use qdrant_client::{
|
||||
};
|
||||
use std::collections::HashMap;
|
||||
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap();
|
||||
|
||||
let mut options = HashMap::<String, Value>::new();
|
||||
options.insert("jina-api-key".to_string(), "<YOUR_JINAAI_API_KEY>".into());
|
||||
options.insert("dimensions".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("jina-api-key", "<YOUR_JINAAI_API_KEY>")
|
||||
.query(
|
||||
QueryPointsBuilder::new("{collection_name}")
|
||||
.query(Query::new_nearest(Document {
|
||||
|
||||
+11
-12
@@ -1,16 +1,15 @@
|
||||
```typescript
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'Mission to Mars',
|
||||
model: 'jinaai/jina-clip-v2',
|
||||
options: {
|
||||
'jina-api-key': '<your_jinaai_api_key>',
|
||||
dimensions: 512,
|
||||
await withHeaders({ 'jina-api-key': '<YOUR_JINAAI_API_KEY>' }, () =>
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'Mission to Mars',
|
||||
model: 'jinaai/jina-clip-v2',
|
||||
options: {
|
||||
dimensions: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
})
|
||||
);
|
||||
```
|
||||
|
||||
@@ -7,24 +7,27 @@ import (
|
||||
)
|
||||
|
||||
func Main() {
|
||||
// @hide-start
|
||||
client, err := qdrant.NewClient(&qdrant.Config{
|
||||
Host: "xyz-example.qdrant.io",
|
||||
Port: 6334,
|
||||
APIKey: "<paste-your-api-key-here>",
|
||||
UseTLS: true,
|
||||
})
|
||||
// @hide-end
|
||||
|
||||
if err != nil { panic(err) } // @hide
|
||||
|
||||
client.Query(context.Background(), &qdrant.QueryPoints{
|
||||
ctx := qdrant.WithHeader(context.Background(), "jina-api-key", "<YOUR_JINAAI_API_KEY>")
|
||||
|
||||
client.Query(ctx, &qdrant.QueryPoints{
|
||||
CollectionName: "{collection_name}",
|
||||
Query: qdrant.NewQueryNearest(
|
||||
qdrant.NewVectorInputDocument(&qdrant.Document{
|
||||
Text: "Mission to Mars",
|
||||
Model: "jinaai/jina-clip-v2",
|
||||
Options: qdrant.NewValueMap(map[string]any{
|
||||
"jina-api-key": "<YOUR_JINAAI_API_KEY>",
|
||||
"dimensions": 512,
|
||||
"dimensions": 512,
|
||||
}),
|
||||
}),
|
||||
),
|
||||
|
||||
+10
-4
@@ -3,20 +3,28 @@ package com.example.snippets_amalgamation;
|
||||
import static io.qdrant.client.QueryFactory.nearest;
|
||||
import static io.qdrant.client.ValueFactory.value;
|
||||
|
||||
import io.grpc.Context;
|
||||
import io.qdrant.client.QdrantClient;
|
||||
import io.qdrant.client.QdrantGrpcClient;
|
||||
import io.qdrant.client.RequestHeaders;
|
||||
import io.qdrant.client.grpc.Points.Document;
|
||||
import io.qdrant.client.grpc.Points.QueryPoints;
|
||||
import java.util.Map;
|
||||
|
||||
public class Snippet {
|
||||
public static void run() throws Exception {
|
||||
// @hide-start
|
||||
QdrantClient client =
|
||||
new QdrantClient(
|
||||
QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
|
||||
.withApiKey("<your-api-key")
|
||||
.build());
|
||||
client
|
||||
// @hide-end
|
||||
|
||||
Context ctx = RequestHeaders.withHeader(
|
||||
Context.current(), "jina-api-key", "<YOUR_JINAAI_API_KEY>");
|
||||
|
||||
ctx.call(() -> client
|
||||
.queryAsync(
|
||||
QueryPoints.newBuilder()
|
||||
.setCollectionName("{collection_name}")
|
||||
@@ -27,12 +35,10 @@ public class Snippet {
|
||||
.setText("Mission to Mars")
|
||||
.putAllOptions(
|
||||
Map.of(
|
||||
"jina-api-key",
|
||||
value("<YOUR_JINAAI_API_KEY>"),
|
||||
"dimensions",
|
||||
value(512)))
|
||||
.build()))
|
||||
.build())
|
||||
.get();
|
||||
.get());
|
||||
}
|
||||
}
|
||||
|
||||
+12
-11
@@ -1,19 +1,20 @@
|
||||
from qdrant_client import QdrantClient, models
|
||||
from qdrant_client.context_headers import headers
|
||||
|
||||
client = QdrantClient(
|
||||
url="https://xyz-example.qdrant.io:6333",
|
||||
api_key="<your-api-key>",
|
||||
api_key="<your-qdrant-api-key>",
|
||||
cloud_inference=True
|
||||
)
|
||||
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="Mission to Mars",
|
||||
model="jinaai/jina-clip-v2",
|
||||
options={
|
||||
"jina-api-key": "<your_jinaai_api_key>",
|
||||
"dimensions": 512
|
||||
}
|
||||
with headers({"jina-api-key": "<YOUR_JINAAI_API_KEY>"}):
|
||||
client.query_points(
|
||||
collection_name="{collection_name}",
|
||||
query=models.Document(
|
||||
text="Mission to Mars",
|
||||
model="jinaai/jina-clip-v2",
|
||||
options={
|
||||
"dimensions": 512
|
||||
}
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
+2
-2
@@ -5,13 +5,13 @@ use qdrant_client::{
|
||||
use std::collections::HashMap;
|
||||
|
||||
pub async fn main() -> anyhow::Result<()> {
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap();
|
||||
let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap(); // @hide
|
||||
|
||||
let mut options = HashMap::<String, Value>::new();
|
||||
options.insert("jina-api-key".to_string(), "<YOUR_JINAAI_API_KEY>".into());
|
||||
options.insert("dimensions".to_string(), 512.into());
|
||||
|
||||
client
|
||||
.with_header("jina-api-key", "<YOUR_JINAAI_API_KEY>")
|
||||
.query(
|
||||
QueryPointsBuilder::new("{collection_name}")
|
||||
.query(Query::new_nearest(Document {
|
||||
|
||||
+12
-11
@@ -1,14 +1,15 @@
|
||||
import { QdrantClient } from "@qdrant/js-client-rest";
|
||||
import { QdrantClient, withHeaders } from "@qdrant/js-client-rest";
|
||||
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 });
|
||||
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
|
||||
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'Mission to Mars',
|
||||
model: 'jinaai/jina-clip-v2',
|
||||
options: {
|
||||
'jina-api-key': '<your_jinaai_api_key>',
|
||||
dimensions: 512,
|
||||
await withHeaders({ 'jina-api-key': '<YOUR_JINAAI_API_KEY>' }, () =>
|
||||
client.query("{collection_name}", {
|
||||
query: {
|
||||
text: 'Mission to Mars',
|
||||
model: 'jinaai/jina-clip-v2',
|
||||
options: {
|
||||
dimensions: 512,
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
})
|
||||
);
|
||||
|
||||
+16
-13
@@ -5,28 +5,31 @@ public class Snippet
|
||||
{
|
||||
public static async Task Run()
|
||||
{
|
||||
// @hide-start
|
||||
var client = new QdrantClient(
|
||||
host: "xyz-example.qdrant.io",
|
||||
port: 6334,
|
||||
https: true,
|
||||
apiKey: "<your-api-key>"
|
||||
);
|
||||
// @hide-end
|
||||
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
new()
|
||||
using (RequestHeaders.Use("jina-api-key", "<YOUR_JINAAI_API_KEY>"))
|
||||
await client.UpsertAsync(
|
||||
collectionName: "{collection_name}",
|
||||
points: new List<PointStruct>
|
||||
{
|
||||
Id = 1,
|
||||
Vectors = new Document()
|
||||
new()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Text = "Mission to Mars",
|
||||
Options = { ["jina-api-key"] = "<YOUR_JINAAI_API_KEY>", ["dimensions"] = 512 },
|
||||
Id = 1,
|
||||
Vectors = new Image()
|
||||
{
|
||||
Model = "jinaai/jina-clip-v2",
|
||||
Image_ = "https://qdrant.tech/example.png",
|
||||
Options = { ["dimensions"] = 512 },
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
);
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user