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243 launch guides · 2601 reviewed steps
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AI/ML · Databases & Data · Security

Build production hybrid retrieval with BM25, vectors, fusion, reranking, and ACL filters

Design and release a production RAG retrieval pipeline that preserves exact-term BM25 strength, adds semantic vector recall, fuses rankings with reciprocal rank fusion, reranks a bounded set, applies tenant ACLs before every branch, and proves quality, latency, cost, citation, and rollback behavior.
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caution300 minadvanced14 stepsElasticsearch

AI/ML · Databases & Data · Security

Build a source-cited RAG pipeline with verified evidence

Govern source revisions, preserve ACLs through parsing and chunking, pin embeddings, combine lexical and semantic retrieval, validate claim-level citations, evaluate abstention, and release immutable indexes with safe rollback.
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caution600 minadvanced14 stepsOpenAI embeddings example