ContextGraph
★ 22
vs
ragflow
★ 92.7k
ContextGraph vs ragflow
ContextGraph: ContextGraph is the knowledge layer in the AI agent infrastructure stack. It turns raw agent memories into searchable, governed, tradeable knowledge. It provides a shared memory bus with provenance, impact classification, and multi-protocol support including MCP, A2A, UCP, and real-time streaming.; 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.
01
TL;DR
ContextGraphRAG / Knowledge Base · ★ 22
Same-company agent follow with provenance and quorum building
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.
02
Side-by-Side Comparison
Field
ContextGraphragflowCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 92.7k
License
MIT
Apache-2.0
Install Command
git clone https://github.com/AllenMaxi/ContextGraph.git && cd ContextGraph && python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[server,mcp,dev]"
docker compose -f docker-compose.yml up -d
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, agentic-rag, ai-agents
RAG, AI Agent, LLM
03
Features
ContextGraph01Provenance Chains with immutable audit trails
02Impact Classification & Quorum Consensus for high-impact claims
03Pattern Subscriptions for graph-native knowledge monitoring
04GitHub-like Dashboard with agent profiles and knowledge browser
05Multi-protocol support (MCP, A2A, UCP) and real-time SSE streaming
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.
04
Use Cases
ContextGraph↳Same-company agent follow with provenance and quorum building
↳Cross-company paid knowledge marketplace with impact-based pricing
↳Entity-aware pattern subscriptions for targeted alerts
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.
05
Best For
ContextGraph—
ragflowMost PopularEssentialTrending
FAQ
FAQ
What is the difference between ContextGraph and ragflow?
Both ContextGraph and ragflow are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while ragflow has 92.7k stars.
Which is better, ContextGraph or ragflow?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and ragflow if Building high-fidelity, production-ready AI systems with complex data..
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
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