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Code Issues Packages Projects Releases Wiki Activity

Add code snippets for the text search guide (#2056)

Browse Source 
* Python snippets

* TS snippets

* Rust snippets

* Java snippets

* C# snippets

* Go snippets

* Generate .md files

* Hide client connection in Rust snippets

* Switch to builder pattern for Rust snippets

* Use Document::new instead of DocumentBuilder::new

* docs: Updated Go snippets

Signed-off-by: Anush008 <mail@anush.sh>

* docs: Updated Java snippets

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* docs: Updated C# snippets

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* docs: Updated BM25 avg_len Java snippet

Signed-off-by: Anush008 <anushshetty90@gmail.com>

* chore: review and format rust snippets

* chore: trigger pr update

* chore: remove qdrant_storage folder

* fix: remove tokio::main

* chore: trigger pr update

* Regenerate .md files

* George's feedback: set bm25 params at ingest-time, change Python client init to use cloud inference explicitly, and mark bm25 options unavailable in FastEmbed

---------

Signed-off-by: Anush008 <mail@anush.sh>
Signed-off-by: Anush008 <anushshetty90@gmail.com>
Co-authored-by: Anush008 <mail@anush.sh>
Co-authored-by: Anush008 <anushshetty90@gmail.com>
Co-authored-by: Daniel Boros <dancixx@gmail.com>
This commit is contained in:
Abdon Pijpelink
2026-01-16 17:57:08 +05:30
committed by GitHub
co-authored by Anush008 Anush008 Daniel Boros
parent b5e0908946
commit 2497c368ed
329 changed files with 7854 additions and 20 deletions
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qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/csharp.cs
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using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
var searchStrict = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
Filter = new Filter { Must = { MatchText("title", "time travel") } },
};
var searchRelaxed = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
Filter = new Filter { Must = { MatchTextAny("title", "time travel") } },
};
var searchVectorOnly = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
};
await client.QueryBatchAsync(
collectionName: "books",
queries: new List<QueryPoints> { searchStrict, searchRelaxed, searchVectorOnly }
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/csharp.md
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```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
var searchStrict = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
Filter = new Filter { Must = { MatchText("title", "time travel") } },
};
var searchRelaxed = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
Filter = new Filter { Must = { MatchTextAny("title", "time travel") } },
};
var searchVectorOnly = new QueryPoints
{
CollectionName = "books",
Query = new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
Using = "description-dense",
};
await client.QueryBatchAsync(
collectionName: "books",
queries: new List<QueryPoints> { searchStrict, searchRelaxed, searchVectorOnly }
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/go.md
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```go
strict := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
Filter: &qdrant.Filter{Must: []*qdrant.Condition{qdrant.NewMatchText("title", "time travel")}},
}
relaxed := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
Filter: &qdrant.Filter{Must: []*qdrant.Condition{qdrant.NewMatchTextAny("title", "time travel")}},
}
vectorOnly := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
}
client.QueryBatch(context.Background(), &qdrant.QueryBatchPoints{
CollectionName: "books",
QueryPoints: []*qdrant.QueryPoints{strict, relaxed, vectorOnly},
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/java.md
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```java
import static io.qdrant.client.ConditionFactory.*;
import static io.qdrant.client.QueryFactory.nearest;
import static io.qdrant.client.WithPayloadSelectorFactory.enable;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Common.Filter;
import io.qdrant.client.grpc.Points.*;
import java.util.*;
QdrantClient client =
QueryPoints searchStrict =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(Filter.newBuilder().addMust(matchText("title", "time travel")).build())
.setWithPayload(enable(true))
.build();
QueryPoints searchRelaxed =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(Filter.newBuilder().addMust(matchTextAny("title", "time travel")).build())
.setWithPayload(enable(true))
.build();
QueryPoints searchVectorOnly =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setWithPayload(enable(true))
.build();
client.queryBatchAsync("books", List.of(searchStrict, searchRelaxed, searchVectorOnly)).get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/python.md
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```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.query_batch_points(
collection_name="books",
requests=[
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchText(text="time travel"))]
),
),
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchTextAny(text_any="time travel"))]
),
),
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
),
],
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/rust.md
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```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
Condition, Document, Filter, Query, QueryBatchPointsBuilder, QueryPointsBuilder,
};
let strict_filter = Filter::must([Condition::matches("title", "time travel".to_string())]);
let relaxed_filter = Filter::must([Condition::matches("title", "time travel".to_string())]);
let searches = vec![
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(strict_filter)
.with_payload(true)
.build(),
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(relaxed_filter)
.with_payload(true)
.build(),
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.with_payload(true)
.build(),
];
client
.query_batch(QueryBatchPointsBuilder::new("books", searches))
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/generated/typescript.md
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```typescript
client.queryBatch("books", {
searches: [
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
filter: {
must: [{ key: "title", match: { text: "time travel" } }],
},
},
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
filter: {
must: [{ key: "title", match: { text_any: "time travel" } }],
},
},
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
},
],
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/go.go
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package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
strict := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
Filter: &qdrant.Filter{Must: []*qdrant.Condition{qdrant.NewMatchText("title", "time travel")}},
}
relaxed := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
Filter: &qdrant.Filter{Must: []*qdrant.Condition{qdrant.NewMatchTextAny("title", "time travel")}},
}
vectorOnly := &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{Model: "sentence-transformers/all-minilm-l6-v2", Text: "time travel"}),
),
Using: qdrant.PtrOf("description-dense"),
}
client.QueryBatch(context.Background(), &qdrant.QueryBatchPoints{
CollectionName: "books",
QueryPoints: []*qdrant.QueryPoints{strict, relaxed, vectorOnly},
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/java.java
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package com.example.snippets_amalgamation;
import static io.qdrant.client.ConditionFactory.*;
import static io.qdrant.client.QueryFactory.nearest;
import static io.qdrant.client.WithPayloadSelectorFactory.enable;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Common.Filter;
import io.qdrant.client.grpc.Points.*;
import java.util.*;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
QueryPoints searchStrict =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(Filter.newBuilder().addMust(matchText("title", "time travel")).build())
.setWithPayload(enable(true))
.build();
QueryPoints searchRelaxed =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(Filter.newBuilder().addMust(matchTextAny("title", "time travel")).build())
.setWithPayload(enable(true))
.build();
QueryPoints searchVectorOnly =
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setWithPayload(enable(true))
.build();
client.queryBatchAsync("books", List.of(searchStrict, searchRelaxed, searchVectorOnly)).get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/python.py
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from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.query_batch_points(
collection_name="books",
requests=[
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchText(text="time travel"))]
),
),
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchTextAny(text_any="time travel"))]
),
),
models.QueryRequest(
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
),
],
)
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/rust.rs
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use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
Condition, Document, Filter, Query, QueryBatchPointsBuilder, QueryPointsBuilder,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let strict_filter = Filter::must([Condition::matches("title", "time travel".to_string())]);
let relaxed_filter = Filter::must([Condition::matches("title", "time travel".to_string())]);
let searches = vec![
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(strict_filter)
.with_payload(true)
.build(),
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(relaxed_filter)
.with_payload(true)
.build(),
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.with_payload(true)
.build(),
];
client
.query_batch(QueryBatchPointsBuilder::new("books", searches))
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/batch-progressive-filter/typescript.ts
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import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.queryBatch("books", {
searches: [
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
filter: {
must: [{ key: "title", match: { text: "time travel" } }],
},
},
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
filter: {
must: [{ key: "title", match: { text_any: "time travel" } }],
},
},
{
query: { text: "time travel", model: "sentence-transformers/all-minilm-l6-v2" },
using: "description-dense",
with_payload: true,
},
],
});
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/csharp.cs
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using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "author",
schemaType: PayloadSchemaType.Keyword
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/csharp.md
+10
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@@ -0,0 +1,10 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "author",
schemaType: PayloadSchemaType.Keyword
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/go.md
+7
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@@ -0,0 +1,7 @@
```go
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "author",
FieldType: qdrant.FieldType_FieldTypeKeyword.Enum(),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/java.md
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@@ -0,0 +1,12 @@
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
QdrantClient client =
client
.createPayloadIndexAsync(
"books", "author", PayloadSchemaType.Keyword, null, null, null, null)
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/python.md
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```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.create_payload_index(
collection_name="books",
field_name="author",
field_schema=models.PayloadSchemaType.KEYWORD
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/rust.md
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@@ -0,0 +1,12 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{CreateFieldIndexCollectionBuilder, FieldType};
client
.create_field_index(CreateFieldIndexCollectionBuilder::new(
"books",
"author",
FieldType::Keyword,
))
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/generated/typescript.md
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@@ -0,0 +1,6 @@
```typescript
client.createPayloadIndex("books", {
field_name: "author",
field_schema: "keyword",
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/go.go
+29
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@@ -0,0 +1,29 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "author",
FieldType: qdrant.FieldType_FieldTypeKeyword.Enum(),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/java.java
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package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createPayloadIndexAsync(
"books", "author", PayloadSchemaType.Keyword, null, null, null, null)
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/python.py
+13
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@@ -0,0 +1,13 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_payload_index(
collection_name="books",
field_name="author",
field_schema=models.PayloadSchemaType.KEYWORD
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/rust.rs
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@@ -0,0 +1,16 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{CreateFieldIndexCollectionBuilder, FieldType};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
client
.create_field_index(CreateFieldIndexCollectionBuilder::new(
"books",
"author",
FieldType::Keyword,
))
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-author-keyword-index/typescript.ts
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@@ -0,0 +1,8 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createPayloadIndex("books", {
field_name: "author",
field_schema: "keyword",
});
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using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreateCollectionAsync(
collectionName: "books",
sparseVectorsConfig: ("title-bm25", new SparseVectorParams { Modifier = Modifier.Idf })
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/csharp.md
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@@ -0,0 +1,9 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreateCollectionAsync(
collectionName: "books",
sparseVectorsConfig: ("title-bm25", new SparseVectorParams { Modifier = Modifier.Idf })
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/go.md
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@@ -0,0 +1,9 @@
```go
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
SparseVectorsConfig: qdrant.NewSparseVectorsConfig(
map[string]*qdrant.SparseVectorParams{
"title-bm25": {Modifier: qdrant.Modifier_Idf.Enum()},
}),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/java.md
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```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
QdrantClient client =
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setSparseVectorsConfig(
SparseVectorConfig.newBuilder()
.putMap(
"title-bm25",
SparseVectorParams.newBuilder().setModifier(Modifier.Idf).build())
.build())
.build())
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/python.md
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@@ -0,0 +1,16 @@
```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.create_collection(
collection_name="books",
sparse_vectors_config={
"title-bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)
},
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/rust.md
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@@ -0,0 +1,16 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Modifier, SparseVectorParamsBuilder, SparseVectorsConfigBuilder,
};
let mut sparse = SparseVectorsConfigBuilder::default();
sparse.add_named_vector_params(
"title-bm25",
SparseVectorParamsBuilder::default().modifier(Modifier::Idf),
);
client
.create_collection(CreateCollectionBuilder::new("books").sparse_vectors_config(sparse))
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/generated/typescript.md
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@@ -0,0 +1,7 @@
```typescript
client.createCollection("books", {
sparse_vectors: {
"title-bm25": { modifier: "idf" },
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/go.go
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@@ -0,0 +1,31 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
SparseVectorsConfig: qdrant.NewSparseVectorsConfig(
map[string]*qdrant.SparseVectorParams{
"title-bm25": {Modifier: qdrant.Modifier_Idf.Enum()},
}),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/java.java
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package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setSparseVectorsConfig(
SparseVectorConfig.newBuilder()
.putMap(
"title-bm25",
SparseVectorParams.newBuilder().setModifier(Modifier.Idf).build())
.build())
.build())
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/python.py
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@@ -0,0 +1,14 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_collection(
collection_name="books",
sparse_vectors_config={
"title-bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)
},
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/rust.rs
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@@ -0,0 +1,20 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Modifier, SparseVectorParamsBuilder, SparseVectorsConfigBuilder,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let mut sparse = SparseVectorsConfigBuilder::default();
sparse.add_named_vector_params(
"title-bm25",
SparseVectorParamsBuilder::default().modifier(Modifier::Idf),
);
client
.create_collection(CreateCollectionBuilder::new("books").sparse_vectors_config(sparse))
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-bm25-collection/typescript.ts
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@@ -0,0 +1,9 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createCollection("books", {
sparse_vectors: {
"title-bm25": { modifier: "idf" },
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/csharp.cs
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@@ -0,0 +1,25 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreateCollectionAsync(
collectionName: "books",
vectorsConfig: new VectorParamsMap
{
Map =
{
["description-dense"] = new VectorParams
{
Size = 384,
Distance = Distance.Cosine,
},
},
}
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/csharp.md
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@@ -0,0 +1,19 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreateCollectionAsync(
collectionName: "books",
vectorsConfig: new VectorParamsMap
{
Map =
{
["description-dense"] = new VectorParams
{
Size = 384,
Distance = Distance.Cosine,
},
},
}
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/go.md
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@@ -0,0 +1,12 @@
```go
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{
"description-dense": {
Size: 384,
Distance: qdrant.Distance_Cosine,
},
}),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/java.md
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```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
QdrantClient client =
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParamsMap(
VectorParamsMap.newBuilder()
.putMap(
"description-dense",
VectorParams.newBuilder()
.setSize(384)
.setDistance(Distance.Cosine)
.build())
.build())
.build())
.build())
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/python.md
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@@ -0,0 +1,16 @@
```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.create_collection(
collection_name="books",
vectors_config={
"description-dense": models.VectorParams(size=384, distance=models.Distance.COSINE)
},
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/rust.md
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@@ -0,0 +1,16 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Distance, VectorParamsBuilder, VectorsConfigBuilder,
};
let mut vectors_config = VectorsConfigBuilder::default();
vectors_config.add_named_vector_params(
"description-dense",
VectorParamsBuilder::new(384, Distance::Cosine),
);
client
.create_collection(CreateCollectionBuilder::new("books").vectors_config(vectors_config))
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/generated/typescript.md
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@@ -0,0 +1,7 @@
```typescript
client.createCollection("books", {
vectors: {
"description-dense": { size: 384, distance: "Cosine" },
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/go.go
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@@ -0,0 +1,34 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{
"description-dense": {
Size: 384,
Distance: qdrant.Distance_Cosine,
},
}),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/java.java
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package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParamsMap(
VectorParamsMap.newBuilder()
.putMap(
"description-dense",
VectorParams.newBuilder()
.setSize(384)
.setDistance(Distance.Cosine)
.build())
.build())
.build())
.build())
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/python.py
+14
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@@ -0,0 +1,14 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_collection(
collection_name="books",
vectors_config={
"description-dense": models.VectorParams(size=384, distance=models.Distance.COSINE)
},
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/rust.rs
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@@ -0,0 +1,20 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Distance, VectorParamsBuilder, VectorsConfigBuilder,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let mut vectors_config = VectorsConfigBuilder::default();
vectors_config.add_named_vector_params(
"description-dense",
VectorParamsBuilder::new(384, Distance::Cosine),
);
client
.create_collection(CreateCollectionBuilder::new("books").vectors_config(vectors_config))
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-description-dense-collection/typescript.ts
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@@ -0,0 +1,9 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createCollection("books", {
vectors: {
"description-dense": { size: 384, distance: "Cosine" },
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/csharp.cs
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@@ -0,0 +1,29 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreateCollectionAsync(
collectionName: "books",
vectorsConfig: new VectorParamsMap
{
Map =
{
["description-dense"] = new VectorParams
{
Size = 384,
Distance = Distance.Cosine,
},
},
},
sparseVectorsConfig: new SparseVectorConfig
{
Map = { ["isbn-bm25"] = new SparseVectorParams { Modifier = Modifier.Idf } },
}
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/csharp.md
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@@ -0,0 +1,23 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreateCollectionAsync(
collectionName: "books",
vectorsConfig: new VectorParamsMap
{
Map =
{
["description-dense"] = new VectorParams
{
Size = 384,
Distance = Distance.Cosine,
},
},
},
sparseVectorsConfig: new SparseVectorConfig
{
Map = { ["isbn-bm25"] = new SparseVectorParams { Modifier = Modifier.Idf } },
}
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/go.md
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@@ -0,0 +1,13 @@
```go
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{
"description-dense": {Size: 384, Distance: qdrant.Distance_Cosine},
}),
SparseVectorsConfig: qdrant.NewSparseVectorsConfig(
map[string]*qdrant.SparseVectorParams{
"isbn-bm25": {Modifier: qdrant.Modifier_Idf.Enum()},
}),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/java.md
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@@ -0,0 +1,32 @@
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
QdrantClient client =
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParamsMap(
VectorParamsMap.newBuilder()
.putMap(
"description-dense",
VectorParams.newBuilder()
.setSize(384)
.setDistance(Distance.Cosine)
.build())
.build())
.build())
.setSparseVectorsConfig(
SparseVectorConfig.newBuilder()
.putMap(
"isbn-bm25",
SparseVectorParams.newBuilder().setModifier(Modifier.Idf).build())
.build())
.build())
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/python.md
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@@ -0,0 +1,19 @@
```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.create_collection(
collection_name="books",
vectors_config={
"description-dense": models.VectorParams(size=384, distance=models.Distance.COSINE)
},
sparse_vectors_config={
"isbn-bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)
},
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/rust.md
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@@ -0,0 +1,27 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Distance, Modifier, SparseVectorParamsBuilder,
SparseVectorsConfigBuilder, VectorParamsBuilder, VectorsConfigBuilder,
};
let mut vectors = VectorsConfigBuilder::default();
vectors.add_named_vector_params(
"description-dense",
VectorParamsBuilder::new(384, Distance::Cosine),
);
let mut sparse = SparseVectorsConfigBuilder::default();
sparse.add_named_vector_params(
"isbn-bm25",
SparseVectorParamsBuilder::default().modifier(Modifier::Idf),
);
client
.create_collection(
CreateCollectionBuilder::new("books")
.vectors_config(vectors)
.sparse_vectors_config(sparse),
)
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/generated/typescript.md
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@@ -0,0 +1,10 @@
```typescript
client.createCollection("books", {
vectors: {
"description-dense": { size: 384, distance: "Cosine" },
},
sparse_vectors: {
"isbn-bm25": { modifier: "idf" },
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/go.go
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@@ -0,0 +1,35 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "books",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{
"description-dense": {Size: 384, Distance: qdrant.Distance_Cosine},
}),
SparseVectorsConfig: qdrant.NewSparseVectorsConfig(
map[string]*qdrant.SparseVectorParams{
"isbn-bm25": {Modifier: qdrant.Modifier_Idf.Enum()},
}),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/java.java
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package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("books")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParamsMap(
VectorParamsMap.newBuilder()
.putMap(
"description-dense",
VectorParams.newBuilder()
.setSize(384)
.setDistance(Distance.Cosine)
.build())
.build())
.build())
.setSparseVectorsConfig(
SparseVectorConfig.newBuilder()
.putMap(
"isbn-bm25",
SparseVectorParams.newBuilder().setModifier(Modifier.Idf).build())
.build())
.build())
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/python.py
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@@ -0,0 +1,17 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_collection(
collection_name="books",
vectors_config={
"description-dense": models.VectorParams(size=384, distance=models.Distance.COSINE)
},
sparse_vectors_config={
"isbn-bm25": models.SparseVectorParams(modifier=models.Modifier.IDF)
},
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/rust.rs
+31
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@@ -0,0 +1,31 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, Distance, Modifier, SparseVectorParamsBuilder,
SparseVectorsConfigBuilder, VectorParamsBuilder, VectorsConfigBuilder,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let mut vectors = VectorsConfigBuilder::default();
vectors.add_named_vector_params(
"description-dense",
VectorParamsBuilder::new(384, Distance::Cosine),
);
let mut sparse = SparseVectorsConfigBuilder::default();
sparse.add_named_vector_params(
"isbn-bm25",
SparseVectorParamsBuilder::default().modifier(Modifier::Idf),
);
client
.create_collection(
CreateCollectionBuilder::new("books")
.vectors_config(vectors)
.sparse_vectors_config(sparse),
)
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-hybrid-collection/typescript.ts
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@@ -0,0 +1,12 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createCollection("books", {
vectors: {
"description-dense": { size: 384, distance: "Cosine" },
},
sparse_vectors: {
"isbn-bm25": { modifier: "idf" },
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/csharp.cs
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@@ -0,0 +1,26 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "title",
schemaType: PayloadSchemaType.Text,
indexParams: new PayloadIndexParams
{
TextIndexParams = new TextIndexParams
{
Tokenizer = TokenizerType.Word,
AsciiFolding = true,
PhraseMatching = true,
Lowercase = true,
},
}
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/csharp.md
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@@ -0,0 +1,20 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "title",
schemaType: PayloadSchemaType.Text,
indexParams: new PayloadIndexParams
{
TextIndexParams = new TextIndexParams
{
Tokenizer = TokenizerType.Word,
AsciiFolding = true,
PhraseMatching = true,
Lowercase = true,
},
}
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/go.md
+14
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@@ -0,0 +1,14 @@
```go
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "title",
FieldType: qdrant.FieldType_FieldTypeText.Enum(),
FieldIndexParams: qdrant.NewPayloadIndexParamsText(
&qdrant.TextIndexParams{
Tokenizer: qdrant.TokenizerType_Word,
Lowercase: qdrant.PtrOf(true),
AsciiFolding: qdrant.PtrOf(true),
PhraseMatching: qdrant.PtrOf(true),
}),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/java.md
+29
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@@ -0,0 +1,29 @@
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadIndexParams;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.TextIndexParams;
import io.qdrant.client.grpc.Collections.TokenizerType;
QdrantClient client =
client
.createPayloadIndexAsync(
"books",
"title",
PayloadSchemaType.Text,
PayloadIndexParams.newBuilder()
.setTextIndexParams(
TextIndexParams.newBuilder()
.setTokenizer(TokenizerType.Word)
.setAsciiFolding(true)
.setPhraseMatching(true)
.setLowercase(true)
.build())
.build(),
null,
null,
null)
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/python.md
+15
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@@ -0,0 +1,15 @@
```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.create_payload_index(
collection_name="books",
field_name="title",
field_schema=models.TextIndexParams(type=models.TextIndexType.TEXT, ascii_folding=True, phrase_matching=True),
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/rust.md
+19
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@@ -0,0 +1,19 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateFieldIndexCollectionBuilder, FieldType, TextIndexParamsBuilder, TokenizerType,
};
let params = TextIndexParamsBuilder::new(TokenizerType::Word)
.ascii_folding(true)
.phrase_matching(true)
.lowercase(true)
.build();
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("books", "title", FieldType::Text)
.field_index_params(params),
)
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/generated/typescript.md
+10
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@@ -0,0 +1,10 @@
```typescript
client.createPayloadIndex("books", {
field_name: "title",
field_schema: {
type: "text",
ascii_folding: true,
phrase_matching: true,
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/go.go
+36
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@@ -0,0 +1,36 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "title",
FieldType: qdrant.FieldType_FieldTypeText.Enum(),
FieldIndexParams: qdrant.NewPayloadIndexParamsText(
&qdrant.TextIndexParams{
Tokenizer: qdrant.TokenizerType_Word,
Lowercase: qdrant.PtrOf(true),
AsciiFolding: qdrant.PtrOf(true),
PhraseMatching: qdrant.PtrOf(true),
}),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/java.java
+34
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@@ -0,0 +1,34 @@
package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadIndexParams;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.TextIndexParams;
import io.qdrant.client.grpc.Collections.TokenizerType;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createPayloadIndexAsync(
"books",
"title",
PayloadSchemaType.Text,
PayloadIndexParams.newBuilder()
.setTextIndexParams(
TextIndexParams.newBuilder()
.setTokenizer(TokenizerType.Word)
.setAsciiFolding(true)
.setPhraseMatching(true)
.setLowercase(true)
.build())
.build(),
null,
null,
null)
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/python.py
+13
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@@ -0,0 +1,13 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_payload_index(
collection_name="books",
field_name="title",
field_schema=models.TextIndexParams(type=models.TextIndexType.TEXT, ascii_folding=True, phrase_matching=True),
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/rust.rs
+23
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@@ -0,0 +1,23 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateFieldIndexCollectionBuilder, FieldType, TextIndexParamsBuilder, TokenizerType,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let params = TextIndexParamsBuilder::new(TokenizerType::Word)
.ascii_folding(true)
.phrase_matching(true)
.lowercase(true)
.build();
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("books", "title", FieldType::Text)
.field_index_params(params),
)
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-phrase-index/typescript.ts
+12
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@@ -0,0 +1,12 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createPayloadIndex("books", {
field_name: "title",
field_schema: {
type: "text",
ascii_folding: true,
phrase_matching: true,
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/csharp.cs
+25
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@@ -0,0 +1,25 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "title",
schemaType: PayloadSchemaType.Text,
indexParams: new PayloadIndexParams
{
TextIndexParams = new TextIndexParams
{
Tokenizer = TokenizerType.Word,
AsciiFolding = true,
Lowercase = true,
},
}
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/csharp.md
+19
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@@ -0,0 +1,19 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
await client.CreatePayloadIndexAsync(
collectionName: "books",
fieldName: "title",
schemaType: PayloadSchemaType.Text,
indexParams: new PayloadIndexParams
{
TextIndexParams = new TextIndexParams
{
Tokenizer = TokenizerType.Word,
AsciiFolding = true,
Lowercase = true,
},
}
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/go.md
+13
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@@ -0,0 +1,13 @@
```go
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "title",
FieldType: qdrant.FieldType_FieldTypeText.Enum(),
FieldIndexParams: qdrant.NewPayloadIndexParamsText(
&qdrant.TextIndexParams{
Tokenizer: qdrant.TokenizerType_Word,
Lowercase: qdrant.PtrOf(true),
AsciiFolding: qdrant.PtrOf(true),
}),
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/java.md
+28
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@@ -0,0 +1,28 @@
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadIndexParams;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.TextIndexParams;
import io.qdrant.client.grpc.Collections.TokenizerType;
QdrantClient client =
client
.createPayloadIndexAsync(
"books",
"title",
PayloadSchemaType.Text,
PayloadIndexParams.newBuilder()
.setTextIndexParams(
TextIndexParams.newBuilder()
.setTokenizer(TokenizerType.Word)
.setAsciiFolding(true)
.setLowercase(true)
.build())
.build(),
null,
null,
null)
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/python.md
+15
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@@ -0,0 +1,15 @@
```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.create_payload_index(
collection_name="books",
field_name="title",
field_schema=models.TextIndexParams(type=models.TextIndexType.TEXT, ascii_folding=True),
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/rust.md
+18
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@@ -0,0 +1,18 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateFieldIndexCollectionBuilder, FieldType, TextIndexParamsBuilder, TokenizerType,
};
let params = TextIndexParamsBuilder::new(TokenizerType::Word)
.ascii_folding(true)
.lowercase(true)
.build();
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("books", "title", FieldType::Text)
.field_index_params(params),
)
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/generated/typescript.md
+9
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@@ -0,0 +1,9 @@
```typescript
client.createPayloadIndex("books", {
field_name: "title",
field_schema: {
type: "text",
ascii_folding: true,
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/go.go
+35
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@@ -0,0 +1,35 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "books",
FieldName: "title",
FieldType: qdrant.FieldType_FieldTypeText.Enum(),
FieldIndexParams: qdrant.NewPayloadIndexParamsText(
&qdrant.TextIndexParams{
Tokenizer: qdrant.TokenizerType_Word,
Lowercase: qdrant.PtrOf(true),
AsciiFolding: qdrant.PtrOf(true),
}),
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/java.java
+33
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@@ -0,0 +1,33 @@
package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.PayloadIndexParams;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.TextIndexParams;
import io.qdrant.client.grpc.Collections.TokenizerType;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
client
.createPayloadIndexAsync(
"books",
"title",
PayloadSchemaType.Text,
PayloadIndexParams.newBuilder()
.setTextIndexParams(
TextIndexParams.newBuilder()
.setTokenizer(TokenizerType.Word)
.setAsciiFolding(true)
.setLowercase(true)
.build())
.build(),
null,
null,
null)
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/python.py
+13
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@@ -0,0 +1,13 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.create_payload_index(
collection_name="books",
field_name="title",
field_schema=models.TextIndexParams(type=models.TextIndexType.TEXT, ascii_folding=True),
)
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/rust.rs
+22
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@@ -0,0 +1,22 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateFieldIndexCollectionBuilder, FieldType, TextIndexParamsBuilder, TokenizerType,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let params = TextIndexParamsBuilder::new(TokenizerType::Word)
.ascii_folding(true)
.lowercase(true)
.build();
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("books", "title", FieldType::Text)
.field_index_params(params),
)
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/create-title-text-index/typescript.ts
+11
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@@ -0,0 +1,11 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.createPayloadIndex("books", {
field_name: "title",
field_schema: {
type: "text",
ascii_folding: true,
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/csharp.cs
+23
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@@ -0,0 +1,23 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.QueryAsync(
collectionName: "books",
query: new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
usingVector: "description-dense",
filter: MatchPhrase("title", "time machine"),
payloadSelector: true
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/csharp.md
+17
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@@ -0,0 +1,17 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
await client.QueryAsync(
collectionName: "books",
query: new Document
{
Text = "time travel",
Model = "sentence-transformers/all-minilm-l6-v2",
},
usingVector: "description-dense",
filter: MatchPhrase("title", "time machine"),
payloadSelector: true
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/go.md
+16
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@@ -0,0 +1,16 @@
```go
client.Query(context.Background(), &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Model: "sentence-transformers/all-minilm-l6-v2",
Text: "time travel",
}),
),
Using: qdrant.PtrOf("description-dense"),
WithPayload: qdrant.NewWithPayload(true),
Filter: &qdrant.Filter{
Must: []*qdrant.Condition{qdrant.NewMatchPhrase("title", "time machine")},
},
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/java.md
+32
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@@ -0,0 +1,32 @@
```java
import static io.qdrant.client.ConditionFactory.*;
import static io.qdrant.client.QueryFactory.nearest;
import static io.qdrant.client.WithPayloadSelectorFactory.enable;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
import io.qdrant.client.grpc.Common.Filter;
import io.qdrant.client.grpc.Points.*;
import java.util.*;
QdrantClient client =
Filter filter = Filter.newBuilder().addMust(matchPhrase("title", "time machine")).build();
client
.queryAsync(
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(filter)
.setWithPayload(enable(true))
.build())
.get();
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/python.md
+19
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@@ -0,0 +1,19 @@
```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.query_points(
collection_name="books",
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
query_filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchPhrase(phrase="time machine"))]
),
)
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/rust.md
+20
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@@ -0,0 +1,20 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{Condition, Document, Filter, Query, QueryPointsBuilder};
let filter = Filter::must([Condition::matches("title", "time machine".to_string())]);
client
.query(
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(filter)
.with_payload(true)
.build(),
)
.await?;
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/generated/typescript.md
+15
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@@ -0,0 +1,15 @@
```typescript
client.query("books", {
query: {
text: "time travel",
model: "sentence-transformers/all-minilm-l6-v2",
},
using: "description-dense",
with_payload: true,
filter: {
must: [
{ key: "title", match: { phrase: "time machine" } },
],
},
});
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/go.go
+38
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@@ -0,0 +1,38 @@
package snippet
// @hide-start
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
// @hide-end
func Main() {
//@hide-start
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil {
panic(err)
}
// @hide-end
client.Query(context.Background(), &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Model: "sentence-transformers/all-minilm-l6-v2",
Text: "time travel",
}),
),
Using: qdrant.PtrOf("description-dense"),
WithPayload: qdrant.NewWithPayload(true),
Filter: &qdrant.Filter{
Must: []*qdrant.Condition{qdrant.NewMatchPhrase("title", "time machine")},
},
})
}
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/java.java
+37
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@@ -0,0 +1,37 @@
package com.example.snippets_amalgamation;
import static io.qdrant.client.ConditionFactory.*;
import static io.qdrant.client.QueryFactory.nearest;
import static io.qdrant.client.WithPayloadSelectorFactory.enable;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.*;
import io.qdrant.client.grpc.Common.Filter;
import io.qdrant.client.grpc.Points.*;
import java.util.*;
public class Snippet {
public static void run() throws Exception {
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build()); // @hide
Filter filter = Filter.newBuilder().addMust(matchPhrase("title", "time machine")).build();
client
.queryAsync(
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("time travel")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(filter)
.setWithPayload(enable(true))
.build())
.get();
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/python.py
+17
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@@ -0,0 +1,17 @@
from qdrant_client import QdrantClient, models
client = QdrantClient(
url="https://xyz-example.qdrant.io:6333",
api_key="<your-api-key>",
cloud_inference=True,
)
client.query_points(
collection_name="books",
query=models.Document(text="time travel", model="sentence-transformers/all-minilm-l6-v2"),
using="description-dense",
with_payload=True,
query_filter=models.Filter(
must=[models.FieldCondition(key="title", match=models.MatchPhrase(phrase="time machine"))]
),
)
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/rust.rs
+24
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@@ -0,0 +1,24 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{Condition, Document, Filter, Query, QueryPointsBuilder};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
let filter = Filter::must([Condition::matches("title", "time machine".to_string())]);
client
.query(
QueryPointsBuilder::new("books")
.query(Query::new_nearest(Document::new(
"time travel",
"sentence-transformers/all-minilm-l6-v2",
)))
.using("description-dense")
.filter(filter)
.with_payload(true)
.build(),
)
.await?;
Ok(())
}
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-phrase/typescript.ts
+17
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@@ -0,0 +1,17 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.query("books", {
query: {
text: "time travel",
model: "sentence-transformers/all-minilm-l6-v2",
},
using: "description-dense",
with_payload: true,
filter: {
must: [
{ key: "title", match: { phrase: "time machine" } },
],
},
});
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-text-any/csharp.cs
+23
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@@ -0,0 +1,23 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334); // @hide
await client.QueryAsync(
collectionName: "books",
query: new Document
{
Text = "space opera",
Model = "sentence-transformers/all-minilm-l6-v2",
},
usingVector: "description-dense",
filter: MatchTextAny("title", "space war"),
payloadSelector: true
);
}
}
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-text-any/generated/csharp.md
+17
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@@ -0,0 +1,17 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
using static Qdrant.Client.Grpc.Conditions;
await client.QueryAsync(
collectionName: "books",
query: new Document
{
Text = "space opera",
Model = "sentence-transformers/all-minilm-l6-v2",
},
usingVector: "description-dense",
filter: MatchTextAny("title", "space war"),
payloadSelector: true
);
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-text-any/generated/go.md
+16
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```go
client.Query(context.Background(), &qdrant.QueryPoints{
CollectionName: "books",
Query: qdrant.NewQueryNearest(
qdrant.NewVectorInputDocument(&qdrant.Document{
Model: "sentence-transformers/all-minilm-l6-v2",
Text: "space opera",
}),
),
Using: qdrant.PtrOf("description-dense"),
WithPayload: qdrant.NewWithPayload(true),
Filter: &qdrant.Filter{
Must: []*qdrant.Condition{qdrant.NewMatchTextAny("title", "space war")},
},
})
```
qdrant-landing/content/documentation/headless/snippets/text-search/filter-title-text-any/generated/java.md
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```java
import static io.qdrant.client.ConditionFactory.*;
import static io.qdrant.client.QueryFactory.nearest;
import static io.qdrant.client.WithPayloadSelectorFactory.enable;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Common.Filter;
import io.qdrant.client.grpc.Points.*;
QdrantClient client =
Filter filter = Filter.newBuilder().addMust(matchTextAny("title", "space war")).build();
client
.queryAsync(
QueryPoints.newBuilder()
.setCollectionName("books")
.setQuery(
nearest(
Document.newBuilder()
.setText("space opera")
.setModel("sentence-transformers/all-minilm-l6-v2")
.build()))
.setUsing("description-dense")
.setFilter(filter)
.setWithPayload(enable(true))
.build())
.get();
```

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