R2R V2 – A open source RAG engine with prod features
Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the last 3 months intensely building after getting a ton of great feedback from our first Show HN (https://news.ycombinator.com/item?id=39510874). We changed our focus to building a RAG engine instead of a framework, because this is what developers asked for the most.…
R2R V2 – A open source RAG engine with prod features launched on June 26, 2024 with 251 votes, #175 of 4,672 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
R2R V2 is an open source retrieval-augmented generation (RAG) engine built on Postgres and Neo4j. It is designed for developers building question-answering systems. The engine includes multimodal data ingestion, hybrid search with reranking, advanced RAG techniques like HyDE, and automatic knowledge graph construction. R2R V2 shifted from being a framework to an opinionated, production-ready system based on developer feedback.
written from the facts on this page · September 2026
From the sources
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. - SciPhi-AI/R2R
In the maker’s words, at launch
Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the…
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