ragflow logo
ragflow
★ 92.7k
vs
rtfm logo
rtfm
★ 26

ragflow vs rtfm

ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; rtfm: RTFM is a local, open-source retrieval layer that indexes everything in a project (code, docs, PDFs, etc.) so that AI agents can find the right context instantly without hallucinations or cloud costs. It integrates with Claude Code and other MCP clients, supports multiple formats, and provides fast search with progressive disclosure.

01

TL;DR

ragflow logo
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
  • Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
  • You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
  • Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
  • You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
rtfm logo
rtfmRAG / Knowledge Base · ★ 26

Legal and regulatory document retrieval with support for specialized formats

02

Side-by-Side Comparison

Field
ragflow logoragflow
rtfm logortfm
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 26
License
Apache-2.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
pip install rtfm-ai && cd your-project && rtfm init
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
ai-agents, claude, claude-code
03

Features

ragflow logoragflow
01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
rtfm logortfm
01Full-text, semantic, and hybrid search with progressive disclosure
02Multi-format indexing with 22 built-in parsers (code, docs, PDFs, etc.)
03Local, free, and open-source (MIT license)
04Knowledge graph with wikilinks and import edges, plus version history
05Seamless MCP integration (native Claude Code plugin and manual install)
04

Use Cases

ragflow logoragflow
↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
rtfm logortfm
↳Legal and regulatory document retrieval with support for specialized formats
↳Research projects combining code, papers, and datasets
↳Any project mixing code with domain-specific documents (FinTech, HealthTech, etc.)
05

Best For

ragflow logoragflow
Most PopularEssentialTrending
rtfm logortfm
—
FAQ

FAQ

What is the difference between ragflow and rtfm?
Both ragflow and rtfm are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while rtfm has 26 stars.
Which is better, ragflow or rtfm?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and rtfm if Legal and regulatory document retrieval with support for specialized formats.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is rtfm free or open source?
Yes, rtfm is open source on GitHub (MIT).
Cloud Infrastructure
Ad

Deploy on DigitalOcean

Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.

Claim $200 Free Credit
→

Related