Modern RAG 2.0: Advanced Retrieval Guide

This comprehensive guide delves into the evolution of Retrieval-Augmented Generation, moving beyond basic RAG to explore advanced RAG 2.0 architectures. We cover critical components like hybrid search, vector embeddings, GraphRAG, multi-hop retrieval, and intelligent context assembly. Discover how these modern systems significantly enhance accuracy and relevance, complete with real-world applications and project insights.

Chapters

1. 01 Move Beyond Simple RAG Chunking with Advanced Context Assembly 14m
2. 02 Implementing Advanced Embeddings and Hybrid Search for RAG 2.0 15m
3. 03 LLM Planning for Agentic Retrieval in RAG 2.0 16m
4. 04 Retrieval-Augmented Generation: Basics, Architecture, Limitations 16m
5. 05 Building with GraphRAG: N-Hop Expansion and Practical Integration 18m
6. 06 GraphRAG: Model Relationships for Better LLM Context 13m
7. 07 Advanced RAG: LLM Query Rewriting and Multi-Hop Retrieval 16m
8. 08 Deploying RAG 2.0: Best Practices, Evaluation, and Real-World Projects 16m