RAGFlow
Updated
About RAGFlow
RAGFlow is an open-source platform that builds context layers for AI agents using retrieval-augmented generation.
Researchers and analysts use RAGFlow to feed AI agents reliable information from multiple data sources. It suits teams building AI agents that need to search, retrieve, and reason over documents, data, and external sources to produce accurate answers.
- Ingestion pipeline that processes multi-format data into searchable representations
- Hybrid search combining vector search, full-text search, and custom scoring
- Visual workflow builder for constructing AI agents with integrated tools
- Pre-built workflows for equity research, legal analysis, and maintenance support
Good to know: Free plan available with 5 apps and 500 credits per month; paid plans start at $29/month.
Key features
- Multi-source data ingestion: Cleanse and structure documents, images, and data from multiple sources into semantic representations for retrieval.
- Hybrid search and re-ranking: Combine vector, full-text, and tensor search with advanced re-ranking to improve answer accuracy and relevance.
- Visual agent orchestration: Build autonomous agents with integrated RAG, tools, and workflows without writing code.
At a glance
- Category: AI Research
- Type: Chat with documents
- Jobs: Research & Analyze
- Evidence: Not yet reviewed
- AIME Score: 70 of 100
- Website: ragflow.io
Alternatives to RAGFlow
- AskYourDatabase (AIME Score 62)
- AnythingLLM (AIME Score 70)
- Clipto (AIME Score 70)
- DocsGPT (AIME Score 70)
- Notestack (AIME Score 70)
- Onyx (AIME Score 70)
More Chat with documents tools
Sources: Details checked on the tool’s own website · Researched by AI Made Easy
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