Explore the fundamentals of Retrieval-Augmented Generation (RAG), its typical architecture, and critical limitations that necessitate the …
Modern RAG 2.0: Advanced Retrieval Guide
Dive deep into modern RAG 2.0, exploring advanced techniques like hybrid search, GraphRAG, and multi-hop retrieval. Learn to overcome basic RAG limitations for superior accuracy and relevance.
Explore the foundational techniques of RAG 2.0, focusing on advanced embedding models and robust hybrid search strategies, including …
Dive deep into advanced context assembly techniques for RAG 2.0. Learn to overcome simple chunking limitations, prevent context distortion, …
Explore intelligent querying techniques in RAG 2.0, focusing on how Large Language Models (LLMs) enhance retrieval through query rewriting …
Explore GraphRAG, an advanced RAG 2.0 technique. Learn how knowledge graphs enhance retrieval by modeling relationships, enabling multi-hop …
Dive deep into GraphRAG, learning how to build knowledge graphs, perform N-hop expansion, and integrate graph-based retrieval into your RAG …
Explore agentic retrieval, a paradigm where LLMs act as intelligent agents to plan and execute complex information retrieval tasks, going …
Explore best practices for deploying RAG 2.0 systems, learn crucial evaluation methodologies, and discover real-world applications to build …