AI-rag-pipeline enables developers to build retrieval augmented generation (RAG) systems that combine web search tools (Tavily, Exa) with large language models (Claude, GPT-4, Gemini) to generate accurate, sourced responses. It solves the problem of AI hallucinations and outdated information by grounding LLM outputs in real-time retrieved data. The skill is designed for developers building AI agents, research assistants, fact-checkers, and knowledge retrieval systems.
npx skills add https://github.com/inferen-sh/skills --skill ai-rag-pipeline