The GraphRAG project aims to extend the range of questions that AI systems can answer on private datasets by exploiting implicit relationships in unstructured text. A key advantage of GraphRAG over traditional vector RAG (or "semantic search") is its ability to answer questions about...
Comprehensive Introduction GraphGen is an open source framework developed by OpenScienceLab, an AI lab in Shanghai, hosted on GitHub, focused on optimizing supervised fine-tuning of Large Language Models (LLMs) by guiding synthetic data generation through knowledge graphs. It was developed from ...