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https://github.com/qdrant/landing_page.git
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46e81449a8
* Add TurboQuant quantization documentation (v1.18.0) Adds a new TurboQuant section to the quantization guide covering the four encoding options (bits1/bits1_5/bits2/bits4), automatic asymmetric quantization, distance metric support, and the automatic TQ+ precision enhancement for sealed segments. Updates the comparison table and method-selection guidance to recommend TurboQuant over Binary and Scalar Quantization for new collections. Adds HTTP-only snippets for basic setup and explicit bit-depth selection. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Consistently use title case for headers * Restructure doc to lead with TurboQuant * Clarify rescoring * Edits * Soften TQ advice * Updates * Fix * Apply suggestions from code review Co-authored-by: Jojii <15957865+JojiiOfficial@users.noreply.github.com> * Review feedback * Add Go/Java/C# code snippets * Add list of 4 quantization methods to introduction * Review feedback * Stronger advice for TQ4 * Add Python snippets * Add Rust snippets * Add TS snippets * Update recommendation table * Update production checklist * Remove link to article --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> Co-authored-by: Jojii <15957865+JojiiOfficial@users.noreply.github.com>
32 lines
613 B
Go
32 lines
613 B
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: "localhost",
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Port: 6334,
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})
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if err != nil { panic(err) }
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// @hide-end
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client.CreateCollection(context.Background(), &qdrant.CreateCollection{
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CollectionName: "{collection_name}",
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VectorsConfig: qdrant.NewVectorsConfig(&qdrant.VectorParams{
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Size: 1536,
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Distance: qdrant.Distance_Cosine,
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}),
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QuantizationConfig: qdrant.NewQuantizationTurbo(
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&qdrant.TurboQuantization{
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AlwaysRam: qdrant.PtrOf(true),
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},
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),
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})
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}
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