R2R — RAG Frameworks Platform
RAG FrameworksLayer 2open-sourceWhat 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
- ✓RAG engine
- ✓End-to-end
- ✓Deployable
- ✓Open source
Pros & Cons
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
R2R Pricing
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