rag-implementer

Features and purpose

Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation.

Quick start

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