// Search & vector stores
R2Rv3.6.5
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Open source No commits in 6+ months For agents
IN ONE PARAGRAPH
R2R is soTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
Not for: teams that need active fixes (no commits in the last 6 months).
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it as the official guide describes.
- 3Tell your agent the command exists (e.g. in AGENTS.md / CLAUDE.md) so it knows when to call it.
02Alternatives & comparison
Compare side by side → txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows ★ 13k llm-app Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more. ★ 59k onyx Open Source AI Platform - AI Chat with advanced features that works with every LLM ★ 33k deeplake Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. ★ 9.3k vespa The AI search platform ★ 7.1k