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 ...

This question is at the center of our work at RecomendeMe Intelligence, where we are exploring how knowledge graphs, ...

In the context of using generative AI for business, the term RAG has become common. On the other hand, most people have ...

Introduces Graph Retrieval-Augmented Generation (GraphRAG) concept Compares traditional RAG vs GraphRAG approach Explains research objective: Identify scenarios where GraphRAG outperforms traditional ...

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 ...

This repository is for the GraphRAG-Bench project, a comprehensive benchmark for evaluating Graph Retrieval-Augmented Generation models. Introduces Graph Retrieval-Augmented Generation (GraphRAG) ...

This directory contains example implementations for running inference on the GraphRAG-Bench dataset using various RAG frameworks. Each framework has a dedicated implementation file that generates ...

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 ...