Rust client for Qdrant vector search engine.
bash
cargo add qdrant-client
Package is available in crates.io
Run Qdrant with enabled gRPC interface:
```bash
docker run -p 6333:6333 -p 6334:6334 \ -e QDRANTSERVICEGRPC_PORT="6334" \ qdrant/qdrant ``` Or by updating the configuration file:
yaml
service:
grpc_port: 6334
More info about gRPC in documentation.
```rust use std::time::Duration; use tonic::transport::Channel; use qdrantclient::QdrantClient; use qdrantclient::qdrant::ListCollectionsRequest;
async fn main() {
// Example of top level client
// You may also use tonic-generated client from src/qdrant.rs
let config = QdrantClientConfig::from_url("http://localhost:6334");
let client = QdrantClient::new(Some(config)).await?;
let collections_list = client.list_collections().await?;
// ListCollectionsResponse { collections: [CollectionDescription { name: "test" }], time: 3.27e-6 }
let collection_name = "test";
client.delete_collection(collection_name).await?;
client
.create_collection(CreateCollection {
collection_name: collection_name.into(),
vector_size: 10,
distance: Distance::Cosine.into(),
..Default::default()
})
.await?;
let collection_info = client.collection_info(collection_name).await?;
let payload: Payload = vec![
("foo", "Bar".into()),
("bar", 12.into()),
].into_iter().collect::<HashMap<_, Value>>().into();
let points = vec![
PointStruct::new(0, vec![12.; 10], payload)
];
client.upsert_points_blocking(collection_name, points).await?;
let search_result = client
.search_points(SearchPoints {
collection_name: collection_name.into(),
vector: vec![11.; 10],
filter: None,
limit: 10,
with_vector: None,
with_payload: None,
params: None,
score_threshold: None,
offset: None,
})
.await?;
// search_result = SearchResponse {
// result: [
// ScoredPoint {
// id: Some(
// PointId {
// point_id_options: Some(Num(0)),
// },
// ),
// payload: {},
// score: 1.0000001,
// vector: [],
// version: 0,
// },
// ],
// time: 5.312e-5,
// }
} ```