home/categories/llm-ai/wshobson-agents-plugins-llm-application-dev-skills-rag-implementation-skill-md
llm-aidata-ai
rag-implementation
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.
maintainer
wshobson
Updated 3/7/2026
Stars
33377
Forks
3622
quick start
Installation and usage
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.
Installation
$ install --globalskills.sh
Usage
Once installed, you can use this skill by running the following command in your terminal:
skills use rag-implementation