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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>
45 lines
1.0 KiB
Go
45 lines
1.0 KiB
Go
package snippet
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import (
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"context"
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"github.com/qdrant/go-client/qdrant"
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)
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func Main() {
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// @hide-start
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client, err := qdrant.NewClient(&qdrant.Config{
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Host: "xyz-example.qdrant.io",
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Port: 6334,
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APIKey: "<paste-your-api-key-here>",
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UseTLS: true,
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})
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// @hide-end
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if err != nil { panic(err) } // @hide
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ctx := qdrant.WithHeader(context.Background(), "openai-api-key", "<YOUR_OPENAI_API_KEY>")
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client.Upsert(ctx, &qdrant.UpsertPoints{
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CollectionName: "{collection_name}",
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Points: []*qdrant.PointStruct{
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{
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Id: qdrant.NewIDNum(uint64(1)),
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Vectors: qdrant.NewVectorsMap(map[string]*qdrant.Vector{
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"large": qdrant.NewVectorDocument(&qdrant.Document{
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Model: "openai/text-embedding-3-small",
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Text: "Recipe for baking chocolate chip cookies",
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}),
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"small": qdrant.NewVectorDocument(&qdrant.Document{
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Model: "openai/text-embedding-3-small",
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Text: "Recipe for baking chocolate chip cookies",
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Options: qdrant.NewValueMap(map[string]any{
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"mrl": 64,
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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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}
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