AI Review Rating

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 la

8.1 Our editorial score, no user reviews yet Open source
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Our verdict

A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.

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. The project is written primarily in Go, released under Apache-2.0, and has 89,162 stars and 10,482 forks on GitHub. 756 contributors have committed to it, and the most recent push was 2026-08-24. The latest tagged release is nightly (2025-12-01). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.

RepositoryGitHub API, refreshed daily

89.2kStars
10.5kForks
361Watching
756Contributors
1.8kOpen issues
Licence
Apache-2.0
Language
Go
Last push
2026-08-24
View on GitHub

Releases

  1. nightly nightly
  2. v0.27.0 v0.27.0
  3. v0.26.4 v0.26.4
  4. v0.26.3 v0.26.3
  5. v0.26.2 v0.26.2
  6. v0.26.1 v0.26.1

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Firecrawl 9.1 $16 Yes Developers building RAG pipelines and research agents Visit

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