rag-implementation

Features and purpose

Build Retrieval-Augmented Generation (RAG) systems for AI 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.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.