wshobson-rag-implementation
byitamarzand88· 87 skills
name: rag-implementation description: 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.
How to install wshobson-rag-implementation?
itamarzand88/awesome-agent-conventions/wshobson-rag-implementation
$npx -y skills add itamarzand88/awesome-agent-conventions --skill wshobson-rag-implementationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/itamarzand88/awesome-agent-conventions" --skill "itamarzand88/awesome-agent-conventions/wshobson-rag-implementation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/itamarzand88/awesome-agent-conventions" that are relevant to the current task. Run `npx skills add "https://github.com/itamarzand88/awesome-agent-conventions"` and select the relevant skills, then follow their instructions.
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