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Skill evidence / RAG Implementation
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RAG Implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and...

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Works in any agent

wshobson/agentspinned 156b7a5
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SKILL.md2 files · 15.3 KB
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What this skill does for you

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Quoted from the skill description in the pinned source

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the rag-implementation skill from wshobson/agents.

Paste it into Claude, ChatGPT, Codex or Cursor.

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Try RAG Implementation in your agent.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and...

Copy setup link