# Skill: 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.

*Digest only: full text not redistributed here.*

## Outline
- When to Use This Skill
- Core Components
- 1. Vector Databases
- 2. Embeddings
- 3. Retrieval Strategies
- 4. Reranking
- Quick Start with LangGraph
- Detailed patterns and worked examples