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* Break Inference page into several pages * Make all inference code snippets testable and clean up * Make more snippets testable * Edits * Document automatic query and passage prefix injection in Cloud Inference Qdrant Cloud Inference silently applies model-specific prefixes (e.g. "query: "/"passage: " for E5, BGE-style instruction prefix for BGE/mxbai/ Snowflake arctic-embed) so users don't need to manage them manually. Add a section explaining this behavior, the idempotency guarantee, and the scope (Qdrant-hosted models only; external providers handle their own). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Document short query optimization in Cloud Inference Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Update links * Expand on external provider API key usage * Add section about external provider API keys * Default to header for external API keys --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
47 lines
978 B
C#
47 lines
978 B
C#
using Qdrant.Client;
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using Qdrant.Client.Grpc;
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using Value = Qdrant.Client.Grpc.Value;
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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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// @hide-start
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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: "<paste-your-api-key-here>"
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);
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// @hide-end
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await client.UpsertAsync(
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collectionName: "<your-collection>",
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points: new List <PointStruct> {
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new() {
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Id = 1,
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Vectors = new Image() {
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Image_ = "https://qdrant.tech/example.png",
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Model = "qdrant/clip-vit-b-32-vision",
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},
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Payload = {
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["title"] = "Example Image"
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},
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},
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}
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);
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var points = await client.QueryAsync(
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collectionName: "<your-collection>",
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query: new Document() {
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Text = "Mission to Mars",
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Model = "qdrant/clip-vit-b-32-text"
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}
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);
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foreach(var point in points) {
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Console.WriteLine(point);
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}
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}
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}
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