R2R: RAG Frameworks

Founded 2023|San Francisco, CA, USA|1-5 employees|open-source

What is R2R?

R2R (RAG to Riches) is an advanced open-source AI retrieval system built by SciPhi, a Y Combinator-backed company, supporting production-ready Retrieval-Augmented Generation with state-of-the-art features built around a RESTful API. The framework offers multimodal content ingestion, hybrid search combining semantic and keyword approaches, knowledge graphs for connected data understanding, and comprehensive document management capabilities. R2R includes a Deep Research API, a multi-step reasoning system that fetches relevant data from knowledge bases and/or the internet to deliver richer, context-aware answers for complex queries. The platform is available as both SciPhi Cloud managed service and a self-hostable solution via pip installation, with the cloud offering featuring a generous free tier and no credit card requirement. Built by AI veterans with extensive open-source contributions, R2R provides advanced retrieval and multi-step reasoning at scale without infrastructure burden.

Key features

Core capabilities this platform advertises.

RAG engine
End-to-end
Deployable
Open source

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Fully open-source with option to self-host for complete control
Advanced Deep Research API with multi-step reasoning capabilities
Y Combinator-backed with strong technical founding team
Generous free tier on managed cloud platform
Production-ready with RESTful API, hybrid search, and knowledge graph support

Cons

Very small team which may impact support and development velocity
Limited publicly available pricing information for paid tiers
Relatively new company and platform (founded 2023)
May require technical expertise to fully leverage advanced features

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