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Use this resource to set up learned sparse retrieval (SPLADE) and combine it with dense vectors
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install splade-learned-sparse-retrievalWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent explains how SPLADE differs from BM25, encodes texts with Transformers, indexes sparse vectors in Qdrant or through rank_features in Elasticsearch, then combines SPLADE and dense results with RRF. It flags cost and speed trade-offs. You get an indexing and query pipeline.
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Updated November 2, 2026
You say
“Index my 200,000 product records with SPLADE in Qdrant and fuse the results with my dense embeddings using RRF.”

Skill published by claude-dev-suite under the MIT license, delivered in its original version.
Listed unmodified
« splade-deep » (claude-dev-suite, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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