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* extract snippets from storage.md + update outdated info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>
This commit is contained in:
trean
2025-04-07 00:40:39 +02:00
committed by GitHub
co-authored by generall
parent 28a16b3966
commit 784f11cba4
1160 changed files with 17100 additions and 17966 deletions
@@ -0,0 +1 @@
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.
@@ -0,0 +1,12 @@
```csharp
using Qdrant.Client;
using Qdrant.Client.Grpc;
var client = new QdrantClient("localhost", 6334);
await client.CreateCollectionAsync(
collectionName: "{collection_name}",
vectorsConfig: new VectorParams { Size = 768, Distance = Distance.Cosine },
hnswConfig: new HnswConfigDiff { PayloadM = 16, M = 0 }
);
```
@@ -0,0 +1,24 @@
```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: "{collection_name}",
VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
Size: 768,
Distance: qdrant.Distance_Cosine,
}),
HnswConfig: &qdrant.HnswConfigDiff{
PayloadM: qdrant.PtrOf(uint64(16)),
M: qdrant.PtrOf(uint64(0)),
},
})
```
@@ -0,0 +1,13 @@
```http
PUT /collections/{collection_name}
{
"vectors": {
"size": 768,
"distance": "Cosine"
},
"hnsw_config": {
"payload_m": 16,
"m": 0
}
}
```
@@ -0,0 +1,28 @@
```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.HnswConfigDiff;
import io.qdrant.client.grpc.Collections.VectorParams;
import io.qdrant.client.grpc.Collections.VectorsConfig;
QdrantClient client =
new QdrantClient(QdrantGrpcClient.newBuilder("localhost", 6334, false).build());
client
.createCollectionAsync(
CreateCollection.newBuilder()
.setCollectionName("{collection_name}")
.setVectorsConfig(
VectorsConfig.newBuilder()
.setParams(
VectorParams.newBuilder()
.setSize(768)
.setDistance(Distance.Cosine)
.build())
.build())
.setHnswConfig(HnswConfigDiff.newBuilder().setPayloadM(16).setM(0).build())
.build())
.get();
```
@@ -0,0 +1,14 @@
```python
from qdrant_client import QdrantClient, models
client = QdrantClient(url="http://localhost:6333")
client.create_collection(
collection_name="{collection_name}",
vectors_config=models.VectorParams(size=768, distance=models.Distance.COSINE),
hnsw_config=models.HnswConfigDiff(
payload_m=16,
m=0,
),
)
```
@@ -0,0 +1,16 @@
```rust
use qdrant_client::qdrant::{
CreateCollectionBuilder, Distance, HnswConfigDiffBuilder, VectorParamsBuilder,
};
use qdrant_client::Qdrant;
let client = Qdrant::from_url("http://localhost:6334").build()?;
client
.create_collection(
CreateCollectionBuilder::new("{collection_name}")
.vectors_config(VectorParamsBuilder::new(768, Distance::Cosine))
.hnsw_config(HnswConfigDiffBuilder::default().payload_m(16).m(0)),
)
.await?;
```
@@ -0,0 +1,16 @@
```typescript
import { QdrantClient } from "@qdrant/js-client-rest";
const client = new QdrantClient({ host: "localhost", port: 6333 });
client.createCollection("{collection_name}", {
vectors: {
size: 768,
distance: "Cosine",
},
hnsw_config: {
payload_m: 16,
m: 0,
},
});
```