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EasyRag
  • PlatformHow it works, end to end
  • FeaturesWhat EasyRag does
  • Use casesReal-world scenarios
  • IntegrationsAPI, channels, tools
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  • The platform
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Features

  • All features
  • AI assistants
  • Knowledge bases
  • Sourced answers (RAG)
  • Language models
  • Publishing and channels
  • Phone callbot
  • Tools and agents
  • Document workflows
  • Monitoring and improvement
  • Security and governance
  • API and developers

Use cases

  • All use cases
  • Internal knowledge assistant
  • First-level user support
  • Smart FAQ
  • Specialized business assistant
  • Making technical documentation usable
  • Procedures and regulatory standards
  • Chatbot embedded in a website or application
  • Process automation with agents

Community and resources

  • Community
  • Documentation
  • Guides and tutorials
  • Build your first assistant in three steps
  • Preparing your documents for accurate answers
  • Embedding the widget on a website
  • Calling an assistant via the API
  • Giving tools to an assistant (MCP, API, webhooks)
  • Planning an installation in your infrastructure
  • What’s new
  • Frequently asked questions

EasyRag

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EasyRag

EasyRag is a community platform, distributed as Docker images, for building, publishing and monitoring AI assistants that answer from your documents and cite their sources.

Supported by

  • LaTribu-IT.fr(opens in a new tab)
  • Patrick Beaucamp
See the demoContact us

Product

  • The platform
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  • Integrations
  • Deployment
  • Demo
  • Chatbot examples

Use cases

  • All use cases
  • Knowledge assistant
  • User support
  • Website chatbot

Resources

  • Documentation (wiki, in French)(opens in a new tab)
  • Documentation by role
  • Guides and tutorials
  • Community
  • What’s new
  • FAQ

EasyRag

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© 2026 EasyRag, a community platform published by Patrick Beaucamp. No cookies, no ad trackers.

  • Legal notice
  • Privacy
  • Cookies
  • Terms of use
  • Accessibility