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Document new strict_mode_config parameters (v1.18.0) (#2303)
* Document 7 missing strict_mode_config parameters Adds documentation sections and code snippets (Python, TypeScript, Rust, Go, Java, C#, HTTP, bash) for search_allow_exact, search_max_hnsw_ef, search_max_oversampling, search_max_batchsize, max_resident_memory_percent, multivector_config, and sparse_config. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Use title case for all headers * Update qdrant-landing/content/documentation/ops-configuration/administration.md Co-authored-by: Tim Visée <tim@visee.me> * Mention default strict mode on Cloud; Clarify behavior of only setting enabled=true * Apply suggestion from @timvisee Co-authored-by: Tim Visée <tim@visee.me> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Tim Visée <tim@visee.me>
This commit is contained in:
Abdon Pijpelink
co-authored by
Claude Sonnet 4.6
Tim Visée
Claude Sonnet 4.6
Tim Visée
parent
dc7d66545e
commit
ecd4887576
+1
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This code snippet sets `sparse_config` on the strict mode configuration to cap the maximum length of sparse vectors for a named vector.
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curl -X PUT http://localhost:6333/collections/{collection_name} \
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-H 'Content-Type: application/json' \
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--data-raw '{
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"strict_mode_config": {
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"enabled": true,
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"sparse_config": {
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"{vector_name}": {
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"max_length": 1000
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}
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}
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}
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}'
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using Qdrant.Client;
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using Qdrant.Client.Grpc;
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public class Snippet
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{
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public static async Task Run()
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{
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var client = new QdrantClient("localhost", 6334);
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await client.CreateCollectionAsync(
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collectionName: "{collection_name}",
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strictModeConfig: new StrictModeConfig
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{
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Enabled = true,
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SparseConfig = new StrictModeSparseConfig
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{
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SparseConfig = { ["{vector_name}"] = new StrictModeSparse { MaxLength = 1000 } }
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}
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}
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);
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}
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}
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```bash
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curl -X PUT http://localhost:6333/collections/{collection_name} \
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-H 'Content-Type: application/json' \
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--data-raw '{
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"strict_mode_config": {
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"enabled": true,
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"sparse_config": {
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"{vector_name}": {
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"max_length": 1000
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}
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}
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}
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}'
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```
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```csharp
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using Qdrant.Client;
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using Qdrant.Client.Grpc;
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var client = new QdrantClient("localhost", 6334);
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await client.CreateCollectionAsync(
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collectionName: "{collection_name}",
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strictModeConfig: new StrictModeConfig
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{
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Enabled = true,
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SparseConfig = new StrictModeSparseConfig
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{
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SparseConfig = { ["{vector_name}"] = new StrictModeSparse { MaxLength = 1000 } }
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}
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}
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);
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```
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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, err := qdrant.NewClient(&qdrant.Config{
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Host: "localhost",
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Port: 6334,
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})
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client.CreateCollection(context.Background(), &qdrant.CreateCollection{
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CollectionName: "{collection_name}",
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StrictModeConfig: &qdrant.StrictModeConfig{
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Enabled: qdrant.PtrOf(true),
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SparseConfig: &qdrant.StrictModeSparseConfig{
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SparseConfig: map[string]*qdrant.StrictModeSparse{
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"{vector_name}": {MaxLength: qdrant.PtrOf(uint64(1000))},
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},
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},
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},
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})
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```
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```java
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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.Collections.CreateCollection;
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import io.qdrant.client.grpc.Collections.StrictModeConfig;
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import io.qdrant.client.grpc.Collections.StrictModeSparse;
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import io.qdrant.client.grpc.Collections.StrictModeSparseConfig;
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QdrantClient client =
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new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
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client
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.createCollectionAsync(
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CreateCollection.newBuilder()
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.setCollectionName("{collection_name}")
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.setStrictModeConfig(
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StrictModeConfig.newBuilder()
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.setEnabled(true)
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.setSparseConfig(
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StrictModeSparseConfig.newBuilder()
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.putSparseConfig("{vector_name}", StrictModeSparse.newBuilder().setMaxLength(1000).build())
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.build())
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.build())
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.build())
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.get();
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```
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+13
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```python
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from qdrant_client import QdrantClient, models
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client = QdrantClient(url="http://localhost:6333")
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client.create_collection(
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collection_name="{collection_name}",
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strict_mode_config=models.StrictModeConfig(
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enabled=True,
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sparse_config={"{vector_name}": models.StrictModeSparse(max_length=1000)},
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),
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)
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```
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+27
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```rust
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use std::collections::HashMap;
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use qdrant_client::Qdrant;
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use qdrant_client::qdrant::{
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CreateCollectionBuilder, StrictModeConfigBuilder, StrictModeSparse, StrictModeSparseConfig,
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};
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let client = Qdrant::from_url("http://localhost:6334").build()?;
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client
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.create_collection(
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CreateCollectionBuilder::new("{collection_name}").strict_mode_config(
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StrictModeConfigBuilder::default()
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.enabled(true)
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.sparse_config(StrictModeSparseConfig {
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sparse_config: HashMap::from([(
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"{vector_name}".to_string(),
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StrictModeSparse {
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max_length: Some(1000),
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},
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)]),
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}),
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),
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)
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.await?;
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```
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+16
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```typescript
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import { QdrantClient } from "@qdrant/js-client-rest";
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const client = new QdrantClient({ host: "localhost", port: 6333 });
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client.createCollection("{collection_name}", {
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strict_mode_config: {
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enabled: true,
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sparse_config: {
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"{vector_name}": {
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max_length: 1000,
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},
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},
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},
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});
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```
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+28
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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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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "localhost",
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Port: 6334,
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})
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if err != nil { panic(err) } // @hide
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client.CreateCollection(context.Background(), &qdrant.CreateCollection{
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CollectionName: "{collection_name}",
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StrictModeConfig: &qdrant.StrictModeConfig{
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Enabled: qdrant.PtrOf(true),
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SparseConfig: &qdrant.StrictModeSparseConfig{
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SparseConfig: map[string]*qdrant.StrictModeSparse{
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"{vector_name}": {MaxLength: qdrant.PtrOf(uint64(1000))},
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},
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},
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},
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})
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}
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+13
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```http
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PUT /collections/{collection_name}
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{
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"strict_mode_config": {
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"enabled": true,
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"sparse_config": {
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"{vector_name}": {
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"max_length": 1000
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}
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}
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}
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}
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```
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+30
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package com.example.snippets_amalgamation;
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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.Collections.CreateCollection;
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import io.qdrant.client.grpc.Collections.StrictModeConfig;
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import io.qdrant.client.grpc.Collections.StrictModeSparse;
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import io.qdrant.client.grpc.Collections.StrictModeSparseConfig;
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public class Snippet {
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public static void run() throws Exception {
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QdrantClient client =
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new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
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client
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.createCollectionAsync(
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CreateCollection.newBuilder()
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.setCollectionName("{collection_name}")
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.setStrictModeConfig(
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StrictModeConfig.newBuilder()
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.setEnabled(true)
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.setSparseConfig(
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StrictModeSparseConfig.newBuilder()
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.putSparseConfig("{vector_name}", StrictModeSparse.newBuilder().setMaxLength(1000).build())
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.build())
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.build())
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.build())
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.get();
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}
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}
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+11
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from qdrant_client import QdrantClient, models
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client = QdrantClient(url="http://localhost:6333")
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client.create_collection(
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collection_name="{collection_name}",
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strict_mode_config=models.StrictModeConfig(
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enabled=True,
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sparse_config={"{vector_name}": models.StrictModeSparse(max_length=1000)},
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),
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)
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+29
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use std::collections::HashMap;
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use qdrant_client::Qdrant;
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use qdrant_client::qdrant::{
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CreateCollectionBuilder, StrictModeConfigBuilder, StrictModeSparse, StrictModeSparseConfig,
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};
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pub async fn main() -> anyhow::Result<()> {
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let client = Qdrant::from_url("http://localhost:6334").build()?;
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client
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.create_collection(
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CreateCollectionBuilder::new("{collection_name}").strict_mode_config(
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StrictModeConfigBuilder::default()
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.enabled(true)
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.sparse_config(StrictModeSparseConfig {
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sparse_config: HashMap::from([(
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"{vector_name}".to_string(),
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StrictModeSparse {
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max_length: Some(1000),
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},
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)]),
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}),
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),
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)
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.await?;
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Ok(())
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}
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+14
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import { QdrantClient } from "@qdrant/js-client-rest";
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const client = new QdrantClient({ host: "localhost", port: 6333 });
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client.createCollection("{collection_name}", {
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strict_mode_config: {
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enabled: true,
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sparse_config: {
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"{vector_name}": {
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max_length: 1000,
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},
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},
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},
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});
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