// Search & vector stores
RAG-Anythingv1.4.3
"RAG-Anything: All-in-One RAG Framework"
Open source Maintained For agents
IN ONE PARAGRAPH
RAG-Anything is "RAG-Anything: All-in-One RAG Framework".
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it from the official package registry:
pip install raganything - 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 → 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 txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows ★ 13k R2R SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API. ★ 8.0k elasticsearch Free and Open Source, Distributed, RESTful Search Engine ★ 78k redis For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine. ★ 77k