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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>
33 lines
1.2 KiB
Java
33 lines
1.2 KiB
Java
package com.example.snippets_amalgamation;
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import static io.qdrant.client.QueryFactory.nearest;
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import io.qdrant.client.QdrantClient;
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import io.qdrant.client.QdrantGrpcClient;
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import io.qdrant.client.grpc.Points.Document;
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import io.qdrant.client.grpc.Points;
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public class Snippet {
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public static void run() throws Exception {
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// @hide-start
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QdrantClient client =
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new QdrantClient(
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QdrantGrpcClient.newBuilder("xyz-example.qdrant.io", 6334, true)
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.withApiKey("<your-api-key>")
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.build());
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// @hide-end
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client
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.queryAsync(
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Points.QueryPoints.newBuilder()
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.setCollectionName("{collection_name}")
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.setQuery(
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nearest(
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Document.newBuilder()
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.setModel("<the-model-to-use>")
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.setText("My Query Text")
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.build()))
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.build())
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.get();
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}
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}
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