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thejordanleopold

rag-and-vector-search

thejordanleopold/claude-code-skills-distilled/rag-and-vector-search/SKILL.md

Use when building retrieval-augmented generation (RAG) pipelines, implementing vector search, choosing embedding models or vector databases, optimizing retrieval strategies, evaluating RAG quality (faithfulness, relevance, groundedness), or debugging RAG failures like hallucination, retrieval miss, or context overflow. Use for document chunking, hybrid search, reranking, context window optimization, and RAG evaluation with RAGAS or similar frameworks.

Skill4 starsChanged 6 months ago
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No licence file, so all rights are reserved — read it at the source. Read it on GitHub.

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