# RAG Systems

> Retrieval-Augmented Generation — from basic document retrieval to production RAG pipelines with evaluation.

![Status: complete](https://img.shields.io/badge/status-complete-brightgreen)

Open [`08-rag.ipynb`](./08-rag.ipynb) for learning objectives, prerequisites, and recommended reading order.

## Topics Covered

- Basic RAG with chunking, embedding, and retrieval
- LangChain and LlamaIndex integration
- Advanced retrieval: HyDE, reranking, and multi-query
- RAG evaluation with RAGAS and Arize Phoenix

## Prerequisites

[07-vector-databases/README.md](../07-vector-databases/README.md) · [05-embeddings/README.md](../05-embeddings/README.md)

## What Comes Next

[09-mlops/README.md](../09-mlops/README.md) or [11-prompt-engineering/README.md](../11-prompt-engineering/README.md)
