R2R is the most advanced AI retrieval system. It is an all-in-one solution for Retrieval-Augmented Generation (RAG) with production-ready features, including multimodal content ingestion, hybrid search functionality, configurable GraphRAG, and user and document management.

Cloud Documentation

Getting Started

• Quickstart: A quick introduction to R2R’s core features
• API & SDKs: API reference and Python/JS SDKs for interacting with R2R

Self-Hosted Documentation

Key Features

• 📁 Multimodal Ingestion: Parse .txt, .pdf, .json, .png, .mp3, and more.
• 🔍 Hybrid Search: Combine semantic and keyword search with reciprocal rank fusion for enhanced relevancy.
• 🔗 Knowledge Graphs: Automatically extract entities and relationships and build knowledge graphs.
• 📊 GraphRAG: Cluster and summarize communities with over your created graphs for even richer insights.
• 🗂️ User Management: Efficiently manage documents and user roles within R2R.
• 🧩 Configuration: Setup your application using intuitive configuration files.
• 🖥️ Dashboard: An open-source React+Next.js admin dashboard to interact with R2R via GUI.

Cookbooks

• Advanced RAG Pipelines

  • RAG Agent: R2R’s powerful RAG agent
  • Hybrid Search: Introduction to hybrid search
  • Advanced RAG: Advanced RAG features

• Orchestration

  • Orchestration: R2R event orchestration

• Auth & Admin Features

  • Web Development: Building webapps using R2R
  • User Auth: Authenticating users
  • Collections: Document collections
  • Web Application: Connecting with the R2R Application

Community

Join our Discord server to get support and connect with both the R2R team and other developers in the community. Whether you’re encountering issues, looking for advice on best practices, or just want to share your experiences, we’re here to help.

About

• SciPhi Website: Explore a managed AI solution powered by R2R.
• Contact Us: Get in touch with our team to discuss your specific needs.