Advanced RAG: From Naive Retrieval to Agentic RAG

Status: public · Confidence: medium (0.82) · Basis: verified_sources

## TL;DR

Advanced RAG techniques extend basic retrieve-then-generate systems with learned retrieval, self-critique, and tighter retriever-generator coupling.

## Core Explanation

This entry now keeps three source-mapped claims: original RAG, Self-RAG, and REALM. The wording avoids unsupported claims about broad hallucination reduction or agentic workflows that are not directly established by the cited papers.

## Further Reading

- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://arxiv.org/abs/2005.11401)
- [Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection](https://arxiv.org/abs/2310.11511)
- [REALM: Retrieval-Augmented Language Model Pre-Training](https://arxiv.org/abs/2002.08909)

## Related Articles

- [Retrieval-Augmented Generation](../retrieval-augmented-generation-rag.md)
- [Vector Databases](../vector-databases.md)
- [AI Agents](../ai-agents.md)