mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-09 12:58:31 +02:00
@@ -0,0 +1,17 @@
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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(
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host: "xyz-example.qdrant.io",
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port: 6334,
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https: true,
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apiKey: "<your-api-key>"
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);
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await client.QueryAsync(
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collectionName: "{collection_name}",
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query: new Document() { Model = "qdrant/bm25", Text = "How to bake cookies?" },
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usingVector: "my-bm25-vector"
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);
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```
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@@ -14,7 +14,7 @@ client, err := qdrant.NewClient(&qdrant.Config{
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})
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client.Query(ctx, &qdrant.QueryPoints{
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CollectionName: "<your-collection>",
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CollectionName: "{collection_name}",
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Query: qdrant.NewQueryNearest(
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qdrant.NewVectorInputDocument(&qdrant.Document{
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Model: "qdrant/bm25",
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@@ -1,5 +1,5 @@
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```http
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POST /collections/<your-collection_name>/points/query
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POST /collections/{collection_name}/points/query
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{
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"query": {
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"text": "How to bake cookies?",
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@@ -8,7 +8,7 @@ client = QdrantClient(
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)
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client.query_points(
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collection_name="<your_collection_name>",
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collection_name="{collection_name}",
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query=models.Document(
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text="How to bake cookies?",
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model="Qdrant/bm25",
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@@ -8,7 +8,7 @@ let client = Qdrant::from_url("<your-qdrant-url>").build().unwrap();
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client
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.query(
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QueryPointsBuilder::new("<your-collection_name>")
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QueryPointsBuilder::new("{collection_name}")
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.query(Query::new_nearest(Document {
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text: "How to bake cookies?".into(),
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model: "qdrant/bm25".into(),
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