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[1.16] Add ACORN and Inline Storage docs (#1990)
* Add ACORN doc * Add Inline Storage doc * Use consistent version gate marker * Update --------- Co-authored-by: Tim Visée <tim@visee.me>
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+6
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This code snippet demonstrates how to enable ACORN for HNSW search.
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ACORN improves search recall for searches with multiple low-selectivity payload filters, at the cost of reduced performance.
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The `enable` parameter activates ACORN based on filter selectivity.
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The `max_selectivity` parameter controls the threshold - if estimated filter selectivity is higher than this value, ACORN will not be used.
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Selectivity is estimated as the ratio of points satisfying the filters to total points.
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Values range from 0.0 (never use ACORN) to 1.0 (always use ACORN), with a default of 0.4.
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```csharp
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using Qdrant.Client;
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using Qdrant.Client.Grpc;
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var client = new QdrantClient("localhost", 6334);
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await client.QueryAsync(
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collectionName: "{collection_name}",
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query: new float[] { 0.2f, 0.1f, 0.9f, 0.7f },
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searchParams: new SearchParams
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{
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Acorn = new AcornSearchParams
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{
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Enable = true,
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MaxSelectivity = 0.4
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}
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},
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limit: 10
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);
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```
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```go
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import (
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"context"
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"github.com/qdrant/go-client/qdrant"
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)
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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "localhost",
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Port: 6334,
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})
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client.Query(context.Background(), &qdrant.QueryPoints{
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CollectionName: "{collection_name}",
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Query: qdrant.NewQuery(0.2, 0.1, 0.9, 0.7),
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Params: &qdrant.SearchParams{
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Acorn: &qdrant.AcornSearchParams{
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Enable: qdrant.PtrOf(true),
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MaxSelectivity: qdrant.PtrOf(0.4),
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},
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},
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})
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```
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```http
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POST /collections/{collection_name}/points/query
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{
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"query": [0.2, 0.1, 0.9, 0.7],
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"params": {
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"acorn": {
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"enable": true,
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"max_selectivity": 0.4
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}
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},
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"limit": 10
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}
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```
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```java
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import io.qdrant.client.QdrantClient;
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import io.qdrant.client.QdrantGrpcClient;
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import io.qdrant.client.grpc.Points.AcornSearchParams;
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import io.qdrant.client.grpc.Points.QueryPoints;
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import io.qdrant.client.grpc.Points.SearchParams;
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import static io.qdrant.client.QueryFactory.nearest;
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QdrantClient client =
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new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
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client.queryAsync(
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QueryPoints.newBuilder()
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.setCollectionName("{collection_name}")
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.setQuery(nearest(0.2f, 0.1f, 0.9f, 0.7f))
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.setParams(
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SearchParams.newBuilder()
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.setAcorn(
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AcornSearchParams.newBuilder()
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.setEnable(true)
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.setMaxSelectivity(0.4)
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.build())
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.build())
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.setLimit(10)
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.build())
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.get();
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```
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```python
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from qdrant_client import QdrantClient, models
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client = QdrantClient(url="http://localhost:6333")
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client.query_points(
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collection_name="{collection_name}",
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query=[0.2, 0.1, 0.9, 0.7],
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search_params=models.SearchParams(
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acorn=models.AcornSearchParams(
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enable=True,
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max_selectivity=0.4,
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)
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),
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limit=10,
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)
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```
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+22
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```rust
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use qdrant_client::qdrant::{
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AcornSearchParamsBuilder, QueryPointsBuilder, SearchParamsBuilder,
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};
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use qdrant_client::Qdrant;
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let client = Qdrant::from_url("http://localhost:6334").build()?;
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client
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.query(
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QueryPointsBuilder::new("{collection_name}")
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.query(vec![0.2, 0.1, 0.9, 0.7])
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.limit(10)
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.params(
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SearchParamsBuilder::default().acorn(
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AcornSearchParamsBuilder::new(true)
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.max_selectivity(0.4),
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),
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),
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)
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.await?;
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```
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+16
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```typescript
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import { QdrantClient } from "@qdrant/js-client-rest";
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const client = new QdrantClient({ host: "localhost", port: 6333 });
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client.query("{collection_name}", {
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query: [0.2, 0.1, 0.9, 0.7],
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params: {
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acorn: {
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enable: true,
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max_selectivity: 0.4,
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},
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},
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limit: 10,
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});
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```
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