This project is an example of GraphRAG, providing a system for processing documents, extracting entities and relationships, and managing them in a graph database. It leverages OpenAI's GPT models for ...

😭 GraphRAG is good and powerful, but the official implementation is difficult/painful to read or hack. 😊 This project provides a smaller, faster, cleaner GraphRAG, while remaining the core ...

The knowledge graph creation process is called indexing. An LLM, guided by a set of domain-specific prompts, reads all the source content and extracts the relevant information, including entities and ...

Microsoft is making publicly available a new technology called GraphRAG, which enables chatbots and answer engines to connect the dots across an entire dataset, outperforming standard ...

When we first launched GraphRAG, most config was done using environment variables, which could be daunting, given the many options available. We’ve reduced the friction on setup by adding an init ...

Microsoft launches GraphRAG, enhancing data discovery with advanced graph-based retrieval-augmented generation. GraphRAG automates knowledge graph extraction using a large language model for improved ...

Microsoft announced an update to GraphRAG that improves AI search engines’ ability to provide specific and comprehensive answers while using less resources. This update speeds up LLM processing and ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...