Remember the days when naive retrieval-augmented generation (RAG) felt like magic? Upload a few documents to a vector store, hook it up to an LLM, and voilà! Instant answers! Fast-forward to today, that naive RAG setup is the new “Hello, World!” for the new world. The bar? It’s been raised — repeatedly. There are now an estimated 30+ RAG techniques floating around (thanks to the awesome RAG_Techniques repo from NirDiamant), all chasing the same holy grail: more accuracy, reliability, and rich...
Read it: Under the Covers With LightRAG: Extraction and Retrieval