Discussion - Topic: FastGraphRAG

This week's topic: FastGraphRAG

As described in Thoughtworks Technology Radar Vol. #32.

FastGraphRAG is an open-source implementation of GraphRAG designed for high retrieval accuracy and performance. It uses Personalized PageRank to limit graph navigation to the most relevant nodes among all the related nodes in the graph, enhancing retrieval accuracy and improving LLM response quality. It also provides a visual representation of the graph, helping users understand node relationships and the retrieval process. With support for incremental updates, it’s well-suited to dynamic and evolving data sets. Optimized for large-scale GraphRAG use cases, FastGraphRAG improves performance while minimizing resource consumption.

Zoom link will be added about 5 min before the event starts.

Discussion Resources :

Please try to read/watch before the meetup as it will help drive the discussions.

Four retrieval techniques to improve RAG you need to know by Richard Gall
https://www.thoughtworks.com/en-us/insights/blog/generative-ai/four-retrieval-techniques-improve-rag

Building, Improving, and Deploying Knowledge Graph RAG Systems on Databricks by Andrea Santurbano, Chandhana Padmanabhan, Jiayi Wu and Dan Pechi
https://www.databricks.com/blog/building-improving-and-deploying-knowledge-graph-rag-systems-databricks

Fast GraphRAG Architecture: Speed, Scalability, and Structured Retrieval for GenAI by Tuhin Sharma
https://medium.com/@tuhinsharma121/fast-graphrag-architecture-speed-scalability-and-structured-retrieval-for-genai-130096cf5d03