Ragflow
VerifiedRagflow offers an open-source engine for building reliable context layers in AI agent systems.
What is Ragflow?
Ragflow focuses on delivering precise retrieval through combined vector, full-text, and tensor-based approaches with re-ranking features. This setup helps improve answer accuracy and relevance when agents access processed datasets from documents, images, and other sources. Industry-specific workflows demonstrate its capabilities in areas such as financial analysis, legal case reviews, and technical maintenance guidance. These examples show how the system extracts key details, performs targeted searches, and compiles structured outputs from both internal records and supplementary references. The all-in-one environment allows seamless integration of models, web searches, and custom agents within visual interfaces, making it suitable for scaling AI applications across teams and production environments.
Key features
What you can use Ragflow for
Equity Investment Research
Automates company data collection and consolidates financial metrics with research insights through autonomous planning and multi-agent orchestration, starting from stock tickers to produce complete investment reports.
Legal Precedent Analysis
Examines similar legal cases across public sources and internal datasets by extracting key attributes like jurisdiction and issues to retrieve comparable precedents and deliver structured analysis.
Manufacturing Maintenance Support
Sources content from internal manuals with external references to validate task inputs, extract standard protocols, and generate clear execution instructions for maintenance tasks.
How to use Ragflow
- 1Sign up at ragflow.io
- 2Upload multi-format data sources
- 3Configure the ETL ingestion pipeline
- 4Set up hybrid search and re-ranking
- 5Build visual agent workflows
Ragflow pricing
Pricing model: Freemium. Plan details are indicative — check the site for current prices.
Free
- 5 Apps
- 1 team members
- 0.1 GB dataset storage
- 500 credits / month
Starter
Popular- 50 Apps
- 5 team members
- 5 GB dataset storage
- 5,000 credits / month
Pro
- Unlimited Apps
- 20 team members
- 50 GB dataset storage
- 20,000 credits / month
Enterprise
- BYOC deployment
- On-premises deployment
- Dedicated support
- Custom SLA
Editor's verdict
Pros
- +Open-source with GitHub availability
- +All-in-one platform for agents and retrieval
- +Enterprise deployment options including on-premises
Cons
- –Free tier limited to 0.1 GB storage and 500 credits/month
- –Some linked pages return 404 errors
Our take: Ragflow is a solid research & data choice. It's valued for open-source with github availability and all-in-one platform for agents and retrieval. The main trade-off is free tier limited to 0.1 gb storage and 500 credits/month. A good pick if you want capable AI without a high upfront cost.
Frequently asked questions
RAGFlow is an open-source RAG engine that delivers reliable context and an integrated agent platform for enterprise AI applications.
Summary
Ragflow is a solid research & data choice. It's valued for open-source with github availability and all-in-one platform for agents and retrieval. The main trade-off is free tier limited to 0.1 gb storage and 500 credits/month. A good pick if you want capable AI without a high upfront cost.
User reviews
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