RAGFlow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
RAGFlow scores 8.4/10 (Strong) in RAG & Memory.
Language Go License Apache-2.0 Stars 84.2k★ Type heavyweight Self-host Yes Repo infiniflow/ragflow Homepage https://ragflow.io
Quality
Strong 8.4
Adoption 73
Activity 95
Maturity 94
Community 75
Capability 50
Show the math
Overall 8.4/10
value = 8.4/10
score = value
Adoption 7.6/10
value = 73.1/100
score = 1 + 9 * value / 100
Activity 9.6/10
value = 95.1/100
score = 1 + 9 * value / 100
Maturity 9.5/10
value = 93.9/100
score = 1 + 9 * value / 100
Community 7.8/10
value = 75.1/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100
Key metrics
84.2k★ GitHub stars
1.5k/90d Recent commits
27 devs/90d Recent contributors
2.6y Project age
active Last commit
Gotchas
No gotchas documented yet. Contribute one if you know a constraint we missed.
Labels
- Self-hosted
Self-hosted
You deploy and operate it yourself; there is no hosted option here.
- Heavyweight
Heavyweight
Resource-heavy to run (GPU, large memory, or multi-service stack).
rag document-parsing retrieval agents