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https://github.com/qdrant/landing_page.git
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Shortcode for rendering code snippets from separate markdown files (#1548)
* shortcode for rendering code snippets from separate markdown files * formatted code * fix and readme * semi-automatically extracts snippets from markdown * extract snippets from points.md * extract snippets from vectors.md * extract snippets from payload.md * extract snippets from search.md + fixes * extract snippets from explore.md * extract snippets from hybrid-queries.md + mode query by id into search * extract snippets from filtering.md * extract snippets from storage.md + update outdated info * extract snippets from indexing.md * extract snippets from snapshots.md * extract snippets from guides/optimize.md * extract snippets from guides/multiple-partitions.md + fix aside note * extract snippets from guides/quantization.md * use auto-generated descriptions * order json snippets first --------- Co-authored-by: generall <andrey@vasnetsov.com>
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Configure Qdrant to optimize performance by bypassing the creation of a global vector index for the entire collection. Instead, focus on indexing vectors for individual groups separately to enhance the speed of the process. Update the HNSW configuration by setting `payload_m` to a specific value, like 16, and ensuring `m` in the configuration is set to 0 to disable the global index construction.
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```csharp
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using Qdrant.Client;
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using Qdrant.Client.Grpc;
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var client = new QdrantClient("localhost", 6334);
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await client.CreateCollectionAsync(
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collectionName: "{collection_name}",
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vectorsConfig: new VectorParams { Size = 768, Distance = Distance.Cosine },
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hnswConfig: new HnswConfigDiff { PayloadM = 16, M = 0 }
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);
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```
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```go
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import (
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"context"
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"github.com/qdrant/go-client/qdrant"
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)
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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "localhost",
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Port: 6334,
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})
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client.CreateCollection(context.Background(), &qdrant.CreateCollection{
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CollectionName: "{collection_name}",
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VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
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Size: 768,
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Distance: qdrant.Distance_Cosine,
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}),
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HnswConfig: &qdrant.HnswConfigDiff{
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PayloadM: qdrant.PtrOf(uint64(16)),
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M: qdrant.PtrOf(uint64(0)),
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},
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})
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```
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```http
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PUT /collections/{collection_name}
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{
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"vectors": {
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"size": 768,
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"distance": "Cosine"
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},
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"hnsw_config": {
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"payload_m": 16,
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"m": 0
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}
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}
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```
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```java
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import io.qdrant.client.QdrantClient;
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import io.qdrant.client.QdrantGrpcClient;
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import io.qdrant.client.grpc.Collections.CreateCollection;
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import io.qdrant.client.grpc.Collections.Distance;
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import io.qdrant.client.grpc.Collections.HnswConfigDiff;
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import io.qdrant.client.grpc.Collections.VectorParams;
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import io.qdrant.client.grpc.Collections.VectorsConfig;
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QdrantClient client =
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new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
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client
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.createCollectionAsync(
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CreateCollection.newBuilder()
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.setCollectionName("{collection_name}")
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.setVectorsConfig(
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VectorsConfig.newBuilder()
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.setParams(
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VectorParams.newBuilder()
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.setSize(768)
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.setDistance(Distance.Cosine)
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.build())
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.build())
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.setHnswConfig(HnswConfigDiff.newBuilder().setPayloadM(16).setM(0).build())
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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.create_collection(
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collection_name="{collection_name}",
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vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE),
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hnsw_config=models.HnswConfigDiff(
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payload_m=16,
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m=0,
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),
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)
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```
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```rust
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use qdrant_client::qdrant::{
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CreateCollectionBuilder, Distance, HnswConfigDiffBuilder, VectorParamsBuilder,
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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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.create_collection(
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CreateCollectionBuilder::new("{collection_name}")
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.vectors_config(VectorParamsBuilder::new(768, Distance::Cosine))
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.hnsw_config(HnswConfigDiffBuilder::default().payload_m(16).m(0)),
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)
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.await?;
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```
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+16
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```typescript
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import { QdrantClient } from "@qdrant/js-client-rest";
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const client = new QdrantClient({ host: "localhost", port: 6333 });
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client.createCollection("{collection_name}", {
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vectors: {
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size: 768,
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distance: "Cosine",
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},
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hnsw_config: {
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payload_m: 16,
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m: 0,
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},
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});
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```
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