GraphRAG: Unlocking LLM discovery on narrative private data - Microsoft Research
Retrieval-Augmented Generation (RAG) is a technique to search for information based on a user query and provide the results as reference for an AI answer to be generated. This technique is an important part of most LLM-based tools and the majority of RAG approaches use vector similarity as the search technique. GraphRAG uses LLM-generated knowledge graphs to provide substantial improvements in question-and-answer performance when conducting document analysis of complex information.
There is an implicit "graph" that exists within an LLM, though the connections are not typically labeled... | LinkedIn by Kurt Cagle
