VertexRAG
Enterprise-grade Graph-RAG as a Service.
VertexRAG launched on January 19, 2026 with 1 votes.
What it does
Managed Graph-RAG API. Turn your documents into a knowledge graph for faster, more accurate retrieval than vector search — self-hosted and privacy-first.
VertexRAG is a managed Graph-RAG API that turns your documents into a knowledge graph of entities and relationships, then answers queries with hybrid vector + graph retrieval. Every answer is pinned to its source chunk and document ID. The platform is self-hosted on physically isolated servers in Hyderabad, India, with no third-party LLM sharing and no training on your data. Graph RAG outperforms pure vector search on multi-hop questions, entity disambiguation, and structured filtering — the cases where retrieval typically fails. Read the API documentation to ingest your first corpus in five minutes, or try the interactive playground . Push any document via REST or SDK — PDFs,…from vertexrag.com
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FastGraphRAG – Better RAG using good old PageRank2024 · github.com · ▲457Hey 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…
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