Add worked with_lookup example

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Dylan Couzon
2026-05-19 19:08:36 -04:00
co-authored by Claude Opus 4.7
parent 2b97750ade
commit a6104d7b7a
42 changed files with 960 additions and 37 deletions
@@ -0,0 +1 @@
Populate both collections for the `with_lookup` pattern. The `documents` collection holds one point per document with payload only. Each chunk in `chunks` carries a `document_id` payload value that matches the id of a point in `documents`.
@@ -0,0 +1,56 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334);
await client.UpsertAsync(
collectionName: "documents",
points: new List<PointStruct>
{
new()
{
Id = 1,
Vectors = new Dictionary<string, Vector>(),
Payload =
{
["title"] = "Document A",
["text"] = "This is document A",
},
},
new()
{
Id = 2,
Vectors = new Dictionary<string, Vector>(),
Payload =
{
["title"] = "Document B",
["text"] = "This is document B",
},
},
}
);
await client.UpsertAsync(
collectionName: "chunks",
points: new List<PointStruct>
{
new()
{
Id = 0,
Vectors = new float[] { 0.1f, 0.2f, 0.3f, 0.4f },
Payload = { ["document_id"] = 1 },
},
new()
{
Id = 1,
Vectors = new float[] { 0.5f, 0.6f, 0.7f, 0.8f },
Payload = { ["document_id"] = 2 },
},
}
);
}
}
@@ -0,0 +1,52 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
var client = new QdrantClient("localhost", 6334);
await client.UpsertAsync(
collectionName: "documents",
points: new List<PointStruct>
{
new()
{
Id = 1,
Vectors = new Dictionary<string, Vector>(),
Payload =
{
["title"] = "Document A",
["text"] = "This is document A",
},
},
new()
{
Id = 2,
Vectors = new Dictionary<string, Vector>(),
Payload =
{
["title"] = "Document B",
["text"] = "This is document B",
},
},
}
);
await client.UpsertAsync(
collectionName: "chunks",
points: new List<PointStruct>
{
new()
{
Id = 0,
Vectors = new float[] { 0.1f, 0.2f, 0.3f, 0.4f },
Payload = { ["document_id"] = 1 },
},
new()
{
Id = 1,
Vectors = new float[] { 0.5f, 0.6f, 0.7f, 0.8f },
Payload = { ["document_id"] = 2 },
},
}
);
```
@@ -0,0 +1,50 @@
```go
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
client.Upsert(context.Background(), &qdrant.UpsertPoints{
CollectionName: "documents",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{}),
Payload: qdrant.NewValueMap(map[string]any{
"title": "Document A",
"text": "This is document A",
}),
},
{
Id: qdrant.NewIDNum(2),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{}),
Payload: qdrant.NewValueMap(map[string]any{
"title": "Document B",
"text": "This is document B",
}),
},
},
})
client.Upsert(context.Background(), &qdrant.UpsertPoints{
CollectionName: "chunks",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(0),
Vectors: qdrant.NewVectors(0.1, 0.2, 0.3, 0.4),
Payload: qdrant.NewValueMap(map[string]any{"document_id": 1}),
},
{
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectors(0.5, 0.6, 0.7, 0.8),
Payload: qdrant.NewValueMap(map[string]any{"document_id": 2}),
},
},
})
```
@@ -0,0 +1,47 @@
```java
import static io.qdrant.client.PointIdFactory.id;
import static io.qdrant.client.ValueFactory.value;
import static io.qdrant.client.VectorsFactory.namedVectors;
import static io.qdrant.client.VectorsFactory.vectors;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Points.PointStruct;
import java.util.List;
import java.util.Map;
QdrantClient client = new QdrantClient(
QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client.upsertAsync(
"documents",
List.of(
PointStruct.newBuilder()
.setId(id(1))
.setVectors(namedVectors(Map.of()))
.putAllPayload(Map.of(
"title", value("Document A"),
"text", value("This is document A")))
.build(),
PointStruct.newBuilder()
.setId(id(2))
.setVectors(namedVectors(Map.of()))
.putAllPayload(Map.of(
"title", value("Document B"),
"text", value("This is document B")))
.build())).get();
client.upsertAsync(
"chunks",
List.of(
PointStruct.newBuilder()
.setId(id(0))
.setVectors(vectors(0.1f, 0.2f, 0.3f, 0.4f))
.putAllPayload(Map.of("document_id", value(1)))
.build(),
PointStruct.newBuilder()
.setId(id(1))
.setVectors(vectors(0.5f, 0.6f, 0.7f, 0.8f))
.putAllPayload(Map.of("document_id", value(2)))
.build())).get();
```
@@ -0,0 +1,33 @@
```python
client.upsert(
collection_name="documents",
points=[
models.PointStruct(
id=1,
vector={},
payload={"title": "Document A", "text": "This is document A"},
),
models.PointStruct(
id=2,
vector={},
payload={"title": "Document B", "text": "This is document B"},
),
],
)
client.upsert(
collection_name="chunks",
points=[
models.PointStruct(
id=0,
vector=[0.1, 0.2, 0.3, 0.4],
payload={"document_id": 1},
),
models.PointStruct(
id=1,
vector=[0.5, 0.6, 0.7, 0.8],
payload={"document_id": 2},
),
],
)
```
@@ -0,0 +1,40 @@
```rust
use std::collections::HashMap;
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{PointStruct, UpsertPointsBuilder, Vector};
client
.upsert_points(UpsertPointsBuilder::new(
"documents",
vec![
PointStruct::new(
1,
HashMap::<String, Vector>::new(),
[
("title", "Document A".into()),
("text", "This is document A".into()),
],
),
PointStruct::new(
2,
HashMap::<String, Vector>::new(),
[
("title", "Document B".into()),
("text", "This is document B".into()),
],
),
],
))
.await?;
client
.upsert_points(UpsertPointsBuilder::new(
"chunks",
vec![
PointStruct::new(0, vec![0.1, 0.2, 0.3, 0.4], [("document_id", 1.into())]),
PointStruct::new(1, vec![0.5, 0.6, 0.7, 0.8], [("document_id", 2.into())]),
],
))
.await?;
```
@@ -0,0 +1,31 @@
```typescript
await client.upsert("documents", {
points: [
{
id: 1,
vector: {},
payload: { title: "Document A", text: "This is document A" },
},
{
id: 2,
vector: {},
payload: { title: "Document B", text: "This is document B" },
},
],
});
await client.upsert("chunks", {
points: [
{
id: 0,
vector: [0.1, 0.2, 0.3, 0.4],
payload: { document_id: 1 },
},
{
id: 1,
vector: [0.5, 0.6, 0.7, 0.8],
payload: { document_id: 2 },
},
],
});
```
@@ -0,0 +1,54 @@
package snippet
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
func Main() {
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil { panic(err) } // @hide
client.Upsert(context.Background(), &qdrant.UpsertPoints{
CollectionName: "documents",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{}),
Payload: qdrant.NewValueMap(map[string]any{
"title": "Document A",
"text": "This is document A",
}),
},
{
Id: qdrant.NewIDNum(2),
Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{}),
Payload: qdrant.NewValueMap(map[string]any{
"title": "Document B",
"text": "This is document B",
}),
},
},
})
client.Upsert(context.Background(), &qdrant.UpsertPoints{
CollectionName: "chunks",
Points: []*qdrant.PointStruct{
{
Id: qdrant.NewIDNum(0),
Vectors: qdrant.NewVectors(0.1, 0.2, 0.3, 0.4),
Payload: qdrant.NewValueMap(map[string]any{"document_id": 1}),
},
{
Id: qdrant.NewIDNum(1),
Vectors: qdrant.NewVectors(0.5, 0.6, 0.7, 0.8),
Payload: qdrant.NewValueMap(map[string]any{"document_id": 2}),
},
},
})
}
@@ -0,0 +1,33 @@
```http
PUT /collections/documents/points
{
"points": [
{
"id": 1,
"vector": {},
"payload": {"title": "Document A", "text": "This is document A"}
},
{
"id": 2,
"vector": {},
"payload": {"title": "Document B", "text": "This is document B"}
}
]
}
PUT /collections/chunks/points
{
"points": [
{
"id": 0,
"vector": [0.1, 0.2, 0.3, 0.4],
"payload": {"document_id": 1}
},
{
"id": 1,
"vector": [0.5, 0.6, 0.7, 0.8],
"payload": {"document_id": 2}
}
]
}
```
@@ -0,0 +1,51 @@
package com.example.snippets_amalgamation;
import static io.qdrant.client.PointIdFactory.id;
import static io.qdrant.client.ValueFactory.value;
import static io.qdrant.client.VectorsFactory.namedVectors;
import static io.qdrant.client.VectorsFactory.vectors;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Points.PointStruct;
import java.util.List;
import java.util.Map;
public class Snippet {
public static void run() throws Exception {
QdrantClient client = new QdrantClient(
QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client.upsertAsync(
"documents",
List.of(
PointStruct.newBuilder()
.setId(id(1))
.setVectors(namedVectors(Map.of()))
.putAllPayload(Map.of(
"title", value("Document A"),
"text", value("This is document A")))
.build(),
PointStruct.newBuilder()
.setId(id(2))
.setVectors(namedVectors(Map.of()))
.putAllPayload(Map.of(
"title", value("Document B"),
"text", value("This is document B")))
.build())).get();
client.upsertAsync(
"chunks",
List.of(
PointStruct.newBuilder()
.setId(id(0))
.setVectors(vectors(0.1f, 0.2f, 0.3f, 0.4f))
.putAllPayload(Map.of("document_id", value(1)))
.build(),
PointStruct.newBuilder()
.setId(id(1))
.setVectors(vectors(0.5f, 0.6f, 0.7f, 0.8f))
.putAllPayload(Map.of("document_id", value(2)))
.build())).get();
}
}
@@ -0,0 +1,35 @@
from qdrant_client import QdrantClient, models # @hide
client = QdrantClient(url="http://localhost:6333") # @hide
client.upsert(
collection_name="documents",
points=[
models.PointStruct(
id=1,
vector={},
payload={"title": "Document A", "text": "This is document A"},
),
models.PointStruct(
id=2,
vector={},
payload={"title": "Document B", "text": "This is document B"},
),
],
)
client.upsert(
collection_name="chunks",
points=[
models.PointStruct(
id=0,
vector=[0.1, 0.2, 0.3, 0.4],
payload={"document_id": 1},
),
models.PointStruct(
id=1,
vector=[0.5, 0.6, 0.7, 0.8],
payload={"document_id": 2},
),
],
)
@@ -0,0 +1,44 @@
use std::collections::HashMap;
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{PointStruct, UpsertPointsBuilder, Vector};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
client
.upsert_points(UpsertPointsBuilder::new(
"documents",
vec![
PointStruct::new(
1,
HashMap::<String, Vector>::new(),
[
("title", "Document A".into()),
("text", "This is document A".into()),
],
),
PointStruct::new(
2,
HashMap::<String, Vector>::new(),
[
("title", "Document B".into()),
("text", "This is document B".into()),
],
),
],
))
.await?;
client
.upsert_points(UpsertPointsBuilder::new(
"chunks",
vec![
PointStruct::new(0, vec![0.1, 0.2, 0.3, 0.4], [("document_id", 1.into())]),
PointStruct::new(1, vec![0.5, 0.6, 0.7, 0.8], [("document_id", 2.into())]),
],
))
.await?;
Ok(())
}
@@ -0,0 +1,33 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
await client.upsert("documents", {
points: [
{
id: 1,
vector: {},
payload: { title: "Document A", text: "This is document A" },
},
{
id: 2,
vector: {},
payload: { title: "Document B", text: "This is document B" },
},
],
});
await client.upsert("chunks", {
points: [
{
id: 0,
vector: [0.1, 0.2, 0.3, 0.4],
payload: { document_id: 1 },
},
{
id: 1,
vector: [0.5, 0.6, 0.7, 0.8],
payload: { document_id: 2 },
},
],
});
@@ -0,0 +1 @@
Create the two collections used by the `with_lookup` pattern. The `chunks` collection holds one point per chunk with its own vector. The `documents` collection holds one point per document and carries only payload, no vectors. A payload index on `document_id` is required for `group_by` to work on that field.
@@ -0,0 +1,27 @@
using Qdrant.Client;
using Qdrant.Client.Grpc;
public class Snippet
{
public static async Task Run()
{
var client = new QdrantClient("localhost", 6334);
await client.CreateCollectionAsync(
collectionName: "chunks",
vectorsConfig: new VectorParams { Size = 4, Distance = Distance.Cosine }
);
await client.CreatePayloadIndexAsync(
collectionName: "chunks",
fieldName: "document_id",
schemaType: PayloadSchemaType.Integer
);
// No vectors, payload only.
await client.CreateCollectionAsync(
collectionName: "documents",
vectorsConfig: new VectorParamsMap()
);
}
}
@@ -0,0 +1,23 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
var client = new QdrantClient("localhost", 6334);
await client.CreateCollectionAsync(
collectionName: "chunks",
vectorsConfig: new VectorParams { Size = 4, Distance = Distance.Cosine }
);
await client.CreatePayloadIndexAsync(
collectionName: "chunks",
fieldName: "document_id",
schemaType: PayloadSchemaType.Integer
);
// No vectors, payload only.
await client.CreateCollectionAsync(
collectionName: "documents",
vectorsConfig: new VectorParamsMap()
);
```
@@ -0,0 +1,34 @@
```go
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "chunks",
VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
Size: 4,
Distance: qdrant.Distance_Cosine,
}),
})
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "chunks",
FieldName: "document_id",
FieldType: qdrant.FieldType_FieldTypeInteger.Enum(),
})
// No vectors, payload only.
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "documents",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{},
),
})
```
@@ -0,0 +1,34 @@
```java
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.CreateCollection;
import io.qdrant.client.grpc.Collections.Distance;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.VectorParams;
import io.qdrant.client.grpc.Collections.VectorParamsMap;
import io.qdrant.client.grpc.Collections.VectorsConfig;
QdrantClient client = new QdrantClient(
QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client.createCollectionAsync("chunks",
VectorParams.newBuilder().setDistance(Distance.Cosine).setSize(4).build()).get();
client.createPayloadIndexAsync(
"chunks",
"document_id",
PayloadSchemaType.Integer,
null,
true,
null,
null).get();
// No vectors, payload only.
client.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("documents")
.setVectorsConfig(VectorsConfig.newBuilder()
.setParamsMap(VectorParamsMap.newBuilder().build())
.build())
.build()).get();
```
@@ -0,0 +1,17 @@
```python
client.create_collection(
collection_name="chunks",
vectors_config=models.VectorParams(size=4, distance=models.Distance.COSINE),
)
client.create_payload_index(
collection_name="chunks",
field_name="document_id",
field_schema=models.PayloadSchemaType.INTEGER,
)
client.create_collection(
collection_name="documents",
vectors_config={}, # no vectors, payload only
)
```
@@ -0,0 +1,29 @@
```rust
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, CreateFieldIndexCollectionBuilder, Distance, FieldType,
VectorParamsBuilder, VectorsConfigBuilder,
};
client
.create_collection(
CreateCollectionBuilder::new("chunks")
.vectors_config(VectorParamsBuilder::new(4, Distance::Cosine)),
)
.await?;
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("chunks", "document_id", FieldType::Integer)
.wait(true),
)
.await?;
// No vectors, payload only.
client
.create_collection(
CreateCollectionBuilder::new("documents")
.vectors_config(VectorsConfigBuilder::default()),
)
.await?;
```
@@ -0,0 +1,14 @@
```typescript
await client.createCollection("chunks", {
vectors: { size: 4, distance: "Cosine" },
});
await client.createPayloadIndex("chunks", {
field_name: "document_id",
field_schema: "integer",
});
await client.createCollection("documents", {
vectors: {}, // no vectors, payload only
});
```
@@ -0,0 +1,38 @@
package snippet
import (
"context"
"github.com/qdrant/go-client/qdrant"
)
func Main() {
client, err := qdrant.NewClient(&qdrant.Config{
Host: "localhost",
Port: 6334,
})
if err != nil { panic(err) } // @hide
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "chunks",
VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
Size: 4,
Distance: qdrant.Distance_Cosine,
}),
})
client.CreateFieldIndex(context.Background(), &qdrant.CreateFieldIndexCollection{
CollectionName: "chunks",
FieldName: "document_id",
FieldType: qdrant.FieldType_FieldTypeInteger.Enum(),
})
// No vectors, payload only.
client.CreateCollection(context.Background(), &qdrant.CreateCollection{
CollectionName: "documents",
VectorsConfig: qdrant.NewVectorsConfigMap(
map[string]*qdrant.VectorParams{},
),
})
}
@@ -0,0 +1,20 @@
```http
PUT /collections/chunks
{
"vectors": {
"size": 4,
"distance": "Cosine"
}
}
PUT /collections/chunks/index
{
"field_name": "document_id",
"field_schema": "integer"
}
PUT /collections/documents
{
"vectors": {}
}
```
@@ -0,0 +1,38 @@
package com.example.snippets_amalgamation;
import io.qdrant.client.QdrantClient;
import io.qdrant.client.QdrantGrpcClient;
import io.qdrant.client.grpc.Collections.CreateCollection;
import io.qdrant.client.grpc.Collections.Distance;
import io.qdrant.client.grpc.Collections.PayloadSchemaType;
import io.qdrant.client.grpc.Collections.VectorParams;
import io.qdrant.client.grpc.Collections.VectorParamsMap;
import io.qdrant.client.grpc.Collections.VectorsConfig;
public class Snippet {
public static void run() throws Exception {
QdrantClient client = new QdrantClient(
QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client.createCollectionAsync("chunks",
VectorParams.newBuilder().setDistance(Distance.Cosine).setSize(4).build()).get();
client.createPayloadIndexAsync(
"chunks",
"document_id",
PayloadSchemaType.Integer,
null,
true,
null,
null).get();
// No vectors, payload only.
client.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("documents")
.setVectorsConfig(VectorsConfig.newBuilder()
.setParamsMap(VectorParamsMap.newBuilder().build())
.build())
.build()).get();
}
}
@@ -0,0 +1,19 @@
from qdrant_client import QdrantClient, models # @hide
client = QdrantClient(url="http://localhost:6333") # @hide
client.create_collection(
collection_name="chunks",
vectors_config=models.VectorParams(size=4, distance=models.Distance.COSINE),
)
client.create_payload_index(
collection_name="chunks",
field_name="document_id",
field_schema=models.PayloadSchemaType.INTEGER,
)
client.create_collection(
collection_name="documents",
vectors_config={}, # no vectors, payload only
)
@@ -0,0 +1,33 @@
use qdrant_client::Qdrant;
use qdrant_client::qdrant::{
CreateCollectionBuilder, CreateFieldIndexCollectionBuilder, Distance, FieldType,
VectorParamsBuilder, VectorsConfigBuilder,
};
pub async fn main() -> anyhow::Result<()> {
let client = Qdrant::from_url("http://localhost:6334").build()?; // @hide
client
.create_collection(
CreateCollectionBuilder::new("chunks")
.vectors_config(VectorParamsBuilder::new(4, Distance::Cosine)),
)
.await?;
client
.create_field_index(
CreateFieldIndexCollectionBuilder::new("chunks", "document_id", FieldType::Integer)
.wait(true),
)
.await?;
// No vectors, payload only.
client
.create_collection(
CreateCollectionBuilder::new("documents")
.vectors_config(VectorsConfigBuilder::default()),
)
.await?;
Ok(())
}
@@ -0,0 +1,16 @@
import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
await client.createCollection("chunks", {
vectors: { size: 4, distance: "Cosine" },
});
await client.createPayloadIndex("chunks", {
field_name: "document_id",
field_schema: "integer",
});
await client.createCollection("documents", {
vectors: {}, // no vectors, payload only
});
@@ -7,10 +7,10 @@ public class Snippet
{
var client = new QdrantClient("localhost", 6334);
await client.SearchGroupsAsync(
collectionName: "{collection_name}",
vector: new float[] { 0.2f, 0.1f, 0.9f, 0.7f},
await client.QueryGroupsAsync(
collectionName: "chunks",
groupBy: "document_id",
query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
limit: 2,
groupSize: 2,
withLookup: new WithLookup
@@ -4,10 +4,10 @@ using Qdrant.Client.Grpc;
var client = new QdrantClient("localhost", 6334);
await client.SearchGroupsAsync(
collectionName: "{collection_name}",
vector: new float[] { 0.2f, 0.1f, 0.9f, 0.7f},
await client.QueryGroupsAsync(
collectionName: "chunks",
groupBy: "document_id",
query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
limit: 2,
groupSize: 2,
withLookup: new WithLookup
@@ -11,9 +11,10 @@ client, err := qdrant.NewClient(&qdrant.Config{
})
client.QueryGroups(context.Background(), &qdrant.QueryPointGroups{
CollectionName: "{collection_name}",
CollectionName: "chunks",
Query: qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
GroupBy: "document_id",
Limit: qdrant.PtrOf(uint64(2)),
GroupSize: qdrant.PtrOf(uint64(2)),
WithLookup: &qdrant.WithLookup{
Collection: "documents",
@@ -9,7 +9,7 @@ import java.util.List;
client.queryGroupsAsync(
QueryPointGroups.newBuilder()
.setCollectionName("{collection_name}")
.setCollectionName("chunks")
.setQuery(nearest(0.2f, 0.1f, 0.9f, 0.7f))
.setGroupBy("document_id")
.setLimit(2)
@@ -2,7 +2,7 @@
client.query_points_groups(
collection_name="chunks",
# Same as in the regular search() API
query=[1.1],
query=[0.2, 0.1, 0.9, 0.7],
# Grouping parameters
group_by="document_id", # Path of the field to group by
limit=2, # Max amount of groups
@@ -15,7 +15,7 @@ client.query_points_groups(
# of the looked up point, True by default
with_payload=["title", "text"],
# Options for specifying what to bring from the vector(s)
# of the looked up point, True by default
# of the looked up point, False by default
with_vectors=False,
),
)
@@ -3,10 +3,10 @@ use qdrant_client::qdrant::{with_payload_selector::SelectorOptions, QueryPointGr
client
.query_groups(
QueryPointGroupsBuilder::new("{collection_name}", "document_id")
QueryPointGroupsBuilder::new("chunks", "document_id")
.query(vec![0.2, 0.1, 0.9, 0.7])
.limit(2u64)
.limit(2u64)
.group_size(2u64)
.with_lookup(
WithLookupBuilder::new("documents")
.with_payload(SelectorOptions::Include(
@@ -1,6 +1,6 @@
```typescript
client.queryGroups("{collection_name}", {
query: [1.1],
client.queryGroups("chunks", {
query: [0.2, 0.1, 0.9, 0.7],
group_by: "document_id",
limit: 2,
group_size: 2,
@@ -15,9 +15,10 @@ func Main() {
if err != nil { panic(err) } // @hide
client.QueryGroups(context.Background(), &qdrant.QueryPointGroups{
CollectionName: "{collection_name}",
CollectionName: "chunks",
Query: qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
GroupBy: "document_id",
Limit: qdrant.PtrOf(uint64(2)),
GroupSize: qdrant.PtrOf(uint64(2)),
WithLookup: &qdrant.WithLookup{
Collection: "documents",
@@ -2,7 +2,7 @@
POST /collections/chunks/points/query/groups
{
// Same as in the regular query API
"query": [1.1],
"query": [0.2, 0.1, 0.9, 0.7],
// Grouping parameters
"group_by": "document_id",
@@ -19,7 +19,7 @@ POST /collections/chunks/points/query/groups
"with_payload": ["title", "text"],
// Options for specifying what to bring from the vector(s)
// of the looked up point, true by default
// of the looked up point, false by default
"with_vectors": false
}
}
@@ -17,7 +17,7 @@ public class Snippet {
client.queryGroupsAsync(
QueryPointGroups.newBuilder()
.setCollectionName("{collection_name}")
.setCollectionName("chunks")
.setQuery(nearest(0.2f, 0.1f, 0.9f, 0.7f))
.setGroupBy("document_id")
.setLimit(2)
@@ -5,7 +5,7 @@ client = QdrantClient(url="http://localhost:6333") # @hide
client.query_points_groups(
collection_name="chunks",
# Same as in the regular search() API
query=[1.1],
query=[0.2, 0.1, 0.9, 0.7],
# Grouping parameters
group_by="document_id", # Path of the field to group by
limit=2, # Max amount of groups
@@ -18,7 +18,7 @@ client.query_points_groups(
# of the looked up point, True by default
with_payload=["title", "text"],
# Options for specifying what to bring from the vector(s)
# of the looked up point, True by default
# of the looked up point, False by default
with_vectors=False,
),
)
@@ -5,10 +5,10 @@ pub async fn main() -> anyhow::Result<()> {
client
.query_groups(
QueryPointGroupsBuilder::new("{collection_name}", "document_id")
QueryPointGroupsBuilder::new("chunks", "document_id")
.query(vec![0.2, 0.1, 0.9, 0.7])
.limit(2u64)
.limit(2u64)
.group_size(2u64)
.with_lookup(
WithLookupBuilder::new("documents")
.with_payload(SelectorOptions::Include(
@@ -2,8 +2,8 @@ import { QdrantClient } from "@qdrant/js-client-rest"; // @hide
const client = new QdrantClient({ host: "localhost", port: 6333 }); // @hide
client.queryGroups("{collection_name}", {
query: [1.1],
client.queryGroups("chunks", {
query: [0.2, 0.1, 0.9, 0.7],
group_by: "document_id",
limit: 2,
group_size: 2,