rag-and-vector-search
CommunityPowerful RAG via vector search.
Authorthejordanleopold
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Retrieval-augmented generation pipelines rely on high-quality retrieval to ground the generated content. This skill provides a structured approach to building, evaluating, and debugging RAG systems with vector search.
Core Features & Use Cases
- Design and implement end-to-end RAG pipelines including ingestion, embedding, vector storage, retrieval, and generation.
- Evaluate retrieval quality, faithfulness, and grounding; optimize chunking, reranking, and context windows.
- Compare vector databases and embedding models; debug failures like hallucination and retrieval misses.
Quick Start
Construct a minimal RAG pipeline over a sample document collection and verify that retrieved context improves answer correctness.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rag-and-vector-search Download link: https://github.com/thejordanleopold/claude-code-skills-distilled/archive/main.zip#rag-and-vector-search Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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