ragflow
★ 92.7k
vs
tela
★ 85
ragflow vs tela
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.; tela: tela is a self-hostable, markdown-native team wiki designed for AI agents as first-class authors and readers. It automatically generates and maintains wiki pages from your code, offering advanced search capabilities and live collaboration.
01
TL;DR
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.
telaRAG / Knowledge Base · ★ 85
Building and maintaining internal team wikis and documentation.
02
Side-by-Side Comparison
Field
ragflowtelaCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 85
License
Apache-2.0
AGPL-3.0
Install Command
docker compose -f docker-compose.yml up -d
git clone https://github.com/zcag/tela.git && cd tela && make setup && make up
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
Team Wiki, Knowledge Base, Markdown
03
Features
ragflow01Deep 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.
tela01Automated documentation generation from code sources using Atlas.
02Integrated Model Context Protocol (MCP) server for seamless AI agent interaction.
03Ranked full-text and pgvector-backed semantic search capabilities.
04Real-time multi-user collaboration with Yjs in a Milkdown editor.
05Self-hostable with data ownership in canonical Markdown format and WebDAV sync.
04
Use Cases
ragflow↳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.
tela↳Building and maintaining internal team wikis and documentation.
↳Automating documentation updates directly from code repositories.
↳Serving as a searchable and writable knowledge base for AI agents.
↳Collaborative real-time editing of technical documentation.
↳Deploying a self-managed knowledge platform with full data control.
05
Best For
ragflowMost PopularEssentialTrending
tela—
FAQ
FAQ
What is the difference between ragflow and tela?
Both ragflow and tela are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while tela has 85 stars.
Which is better, ragflow or tela?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and tela if Building and maintaining internal team wikis and documentation..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is tela free or open source?
Yes, tela is open source on GitHub (AGPL-3.0).
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