The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.

GraphRAG is a structured, hierarchical approach to Retrieval Augmented Generation (RAG), as opposed to naive semantic-search approaches using plain text snippets. The GraphRAG process involves extracting a knowledge graph out of raw text, building a community hierarchy, generating summaries for these communities, and then leveraging these structures when perform RAG-based tasks.

• GraphRAG @ GitHub.

A Knowledge Graph Brain for World Wide Web Surfers.

SurfSense is like a Knowledge Graph Brain 🧠 for anything you see (Social Media Chats, Calender Invites, Important Mails, Tutorials, Recipies and anything ) on the World Wide Web.

• SurfSense @ GitHub.

Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph.

Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.