RAGFlow
An open-source platform combining retrieval-augmented generation with AI agent capabilities to provide contextual support for language models
- Also known as
- ragflow
What is RAGFlow?
RAGFlow is an open-source RAG engine that streamlines data processing and integration for building production-ready AI systems. It supports multiple data formats and provides configurable LLM and embedding options with agent-based workflows.
RAGFlow pricing
We don't have RAGFlow's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What RAGFlow does
The capabilities that matter for rag tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Hybrid retrieval
- -
- Reranking integration
- -
- Multi hop agentic retrieval
- ✓
- Embedding provider agnostic
- ✓
- LLM provider agnostic
- ✓
- Built in rag eval metrics
- -
- Citation attribution
- ✓
- Multimodal rag
- ✓
- Managed ingestion pipeline
- ✓
- Open source
- ✓
Platform & deployment
Independently observed- Web
- Linux
- Cloud / SaaS
- Self-hosted
Integrations (16)
Independently observed- OpenAI GPT-5•
- Google Gemini 3 Pro•
- DeepSeek v4•
- Discord
- Feishu
- Telegram
- Line
- Confluence
- S3
- Notion
- Google Drive
- OpenAI
- DeepSeek
- Gemini
- OpenClaw
- MCP•
RAGFlow FAQ
Common questions about RAGFlow, answered from independent, dated evidence.
What is RAGFlow?
An AI platform that combines retrieval-augmented generation with autonomous agent features, enabling developers to create production-ready AI systems from complex data sources. It supports multiple deployment models (cloud or self-hosted Docker), integrates with various LLM providers and data sources, and provides streamlined workflows for enterprises of any scale. It is indexed under RAG Tools.
Source: https://ragflow.io
Is RAGFlow free to use?
RAGFlow is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.
Source: https://ragflow.io
What platforms does RAGFlow support?
RAGFlow supports the web, Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://ragflow.io
Can RAGFlow be self-hosted?
Yes. RAGFlow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://ragflow.io
What does RAGFlow integrate with?
We have confirmed 13 integrations for RAGFlow, including Discord, Feishu, Telegram, Line, Confluence, S3, Notion and Google Drive, plus 5 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://ragflow.io
RAGFlow alternatives
Other rag tools we track, ranked by the same independent score.
- LightRAGA lightweight framework that combines knowledge graphs and vector embeddings for efficient information retrievalmedium · 53%
- RagieA managed AI context platform for agents, assistants, and applicationsmedium · 73%
- Amazon Bedrock Knowledge BasesA managed service connecting AI applications to enterprise data with automatic indexing and retrievalmedium · 74%
- PathwayA streaming data framework for building real-time AI and ML applicationslow · 35%
- Ragaslow · 32%
- Contextual AImedium · 61%
Compare RAGFlow
Side by side against other rag tools, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for RAGFlow, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 87 | 0.08 | 7.0 | ✓ |
| Integrations | 32 | 0.05 | 1.7 | ✓ |
| Stars | 0 | 0.05 | 0.0 | - |
| Dependent projects | 0 | 0.05 | 0.0 | - |
| Development activity | 0 | 0.14 | 0.0 | - |
| Release cadence | 0 | 0.08 | 0.0 | - |
| Security posture | 0 | 0.12 | 0.0 | - |
| Package downloads | 0 | 0.04 | 0.0 | - |
| Security score | 0 | 0.05 | 0.0 | - |
| Developer Q&A activity | 0 | 0.14 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 5 items | mediumsource · 2026-09-10 · 60% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Open source, Multimodal rag, Citation attribution, Llm provider agnostic, Managed ingestion pipeline, Embedding provider agnostic, Multi hop agentic retrieval | mediumsource · 2026-09-28 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 12 | mediumsource · 2026-09-28 · 60% |
Pricing
Is RAGFlow the right choice for you?
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