RAGFlow
Leading#3 in Open sourcehigh confidence
Dedicated open-source RAG engine with deep document parsing, knowledge-base management, and a zero-code web UI (~86k stars).Our read
Why it ranks #3
The existing GitHub source records roughly 86k stars, the strongest adoption signal among dedicated document-centric RAG engines in this category.Here is the catch
Deployment is resource-heavy and operationally complex
Documentation and upgrade experience can lag the project's rapid development
Production quality still depends on model, parser, and retrieval tuning
Does this well
Users highlight strong parsing of complex PDFs and structured documents
End-to-end UI reduces the amount of custom ingestion code
Retrieval components remain configurable for specialist corpora
Pricing
Checked by hand on 2026-07-23. Prices in this category change often — if this looks wrong, it probably is.
Key features
Deep document parsing and layout analysisKnowledge-base ingestion and managementHybrid retrieval and rerankingVisual RAG and agent workflow UI
Sources we read
Quick facts
More in this area
The rest of the Open source column.- 1LangChainThe de-facto framework for building RAG and knowledge-base apps — chains, agents, and connectors to every model and vector store. The category's recognized leader (~142k stars).
- 2DifyOpen-source LLM app platform with a built-in knowledge base, document ingestion, and RAG pipeline behind a full UI; the highest-starred option here (~150k stars).
- 4AnythingLLMAll-in-one desktop/self-hosted app that turns your documents into a private chat knowledge base out of the box (~64k stars).
- 5LlamaIndexThe data framework for indexing and querying your private content; the reference toolkit for document-QA knowledge bases (~51k stars).
- 6QuivrOpinionated RAG 'second brain' you can plug into your apps to store and query your documents (~39k stars).
- 7KhojSelf-hostable AI second brain that searches and chats across your notes, docs, and PDFs (~36k stars).