ragflow
★ 92.7k
vs
compass
★ 73
ragflow vs compass
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.; compass: Compass is a context engine that builds a temporal knowledge graph connecting entities, relationships, and documents across systems. It provides AI-native capabilities, hybrid search, impact analysis, and an open type system. It can be used to query and traverse organizational knowledge for humans and AI agents.
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.
compassRAG / Knowledge Base · ★ 73
Search across organizational systems for entities and relationships
02
Side-by-Side Comparison
Field
ragflowcompassCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 73
License
Apache-2.0
Apache-2.0
Install Command
docker compose -f docker-compose.yml up -d
git clone https://github.com/raystack/compass.git && cd compass && make
Updated
1d ago
6mo ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
ai-agents, context-engine, context-engineering
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.
compass01AI-Native: Composable MCP tools for AI agent interaction
02Knowledge Graph: Typed, directed, temporal relationships
03Context Assembly: Multi-hop bidirectional traversal
04Impact Analysis: Blast radius analysis
05Hybrid Search: Keyword and semantic search
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.
compass↳Search across organizational systems for entities and relationships
↳Explore context and dependencies around any entity
↳Analyze impact of changes across systems
05
Best For
ragflowMost PopularEssentialTrending
compass—
FAQ
FAQ
What is the difference between ragflow and compass?
Both ragflow and compass are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while compass has 73 stars.
Which is better, ragflow or compass?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and compass if Search across organizational systems for entities and relationships.
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is compass free or open source?
Yes, compass is open source on GitHub (Apache-2.0).
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