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* Python snippets * TS snippets * Rust snippets * Java snippets * C# snippets * Go snippets * Generate .md files * Hide client connection in Rust snippets * Switch to builder pattern for Rust snippets * Use Document::new instead of DocumentBuilder::new * docs: Updated Go snippets Signed-off-by: Anush008 <mail@anush.sh> * docs: Updated Java snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated C# snippets Signed-off-by: Anush008 <anushshetty90@gmail.com> * docs: Updated BM25 avg_len Java snippet Signed-off-by: Anush008 <anushshetty90@gmail.com> * chore: review and format rust snippets * chore: trigger pr update * chore: remove qdrant_storage folder * fix: remove tokio::main * chore: trigger pr update * Regenerate .md files * George's feedback: set bm25 params at ingest-time, change Python client init to use cloud inference explicitly, and mark bm25 options unavailable in FastEmbed --------- Signed-off-by: Anush008 <mail@anush.sh> Signed-off-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Anush008 <mail@anush.sh> Co-authored-by: Anush008 <anushshetty90@gmail.com> Co-authored-by: Daniel Boros <dancixx@gmail.com>
37 lines
1004 B
C#
37 lines
1004 B
C#
using Qdrant.Client;
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using Qdrant.Client.Grpc;
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public class Snippet
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{
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public static async Task Run()
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{
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var client = new QdrantClient("localhost", 6334); // @hide
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await client.UpsertAsync(
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collectionName: "books",
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wait: true,
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points: new List<PointStruct>
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{
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new()
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{
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Id = 1,
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Vectors = new Dictionary<string, Vector>
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{
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["title-bm25"] = new Document
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{
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Text = "The Time Machine",
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Model = "qdrant/bm25",
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},
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},
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Payload =
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{
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["title"] = "The Time Machine",
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["author"] = "H.G. Wells",
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["isbn"] = "9780553213515",
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},
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},
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}
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);
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}
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}
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