FastGraphRAG – Better RAG using good old PageRank
Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…
FastGraphRAG – Better RAG using good old PageRank launched on November 18, 2024 with 457 votes, #62 of 4,990 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
FastGraphRAG is an open-source retrieval-augmented generation system that combines knowledge graphs with the PageRank algorithm to improve information retrieval and reasoning. It targets engineers building RAG pipelines who need better accuracy and the ability to handle complex, multi-hop queries beyond what simple vector database search provides. The system addresses limitations of naive RAG approaches by using graph-based ranking instead of relying solely on semantic similarity, reducing hallucinations and enabling debugging of retrieval decisions.
written from the facts on this page · September 2026
From the sources
RAG that intelligently adapts to your use case, data, and queries - circlemind-ai/fast-graphrag
Streamlined and promptable Fast GraphRAG framework designed for interpretable, high-precision, agent-driven retrieval workflows. Using The Wizard of Oz , fast-graphrag costs $0.08 vs. graphrag $0.48 — a 6x costs saving that further improves with data size and number of insertions. Fast GraphRAG is built to fit seamlessly into your retrieval pipeline, giving you the power of advanced RAG, without the overhead of building and designing agentic workflows. export OPENAI_API_KEY= " sk-... " Download a copy of A Christmas Carol by Charles Dickens: curl https://raw.githubusercontent.com/circlemind-ai/fast-graphrag/refs/heads/main/mock_data.txt > ./book.txt Optional: Set the limit for concurrent…from github.com
In the maker’s words, at launch
Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most…
Does a similar job
all alternatives →
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