RAGcon Documentation

Guides & reference for the RAGcon products.

RAGflow for Moodle

Not sure where to start?¶

Answer one question:

Bring your Moodle / course content into an AI-powered RAG and keep it in sync? → RAGflow Moodle Connector
Let Moodle reach RAGflow through its AI subsystem? → RAGflow AI provider
Want an AI tutor in each course? → Tutor block
Need central AI help across your Moodle site? → Helpdesk
Want usage metrics for the RAGflow AI plugins? → Usage dashboard

The base is always the RAGflow AI provider (backend) — install it first.

Products¶

Moodle RAGflow Suite¶

A set of Moodle plugins that bring RAGflow-powered retrieval-augmented generation (RAG) into Moodle — a course tutor, a knowledge-base search block, a site-wide help drawer, and a usage dashboard, all driven by a shared AI provider.

→ Get started with the Moodle RAGflow Suite

RAGflow Moodle Connector¶

A built-in RAGflow data source that syncs a Moodle site's content into a RAGflow knowledge base, so it can be searched, cited and answered over — and kept current automatically.

→ Read the RAGflow Moodle Connector docs

More RAGcon products will be documented here over time. Each product lives in its own section; this site is built from Markdown and published automatically via GitHub Actions.

Licences and attributions¶

The software these products build on

Moodle is software by Moodle Pty Ltd, released under the GNU GPL v3 or later.

Source: https://github.com/moodle/moodle
Bug tracker: https://moodle.atlassian.net/jira/projects

The word Moodle and associated Moodle logos are trademarks or registered trademarks of Moodle Pty Ltd or its related affiliates.

RAGflow is open-source software by InfiniFlow Inc., released under the Apache License 2.0.

Web: https://ragflow.io
Source: https://github.com/infiniflow/ragflow
Bug tracker: https://github.com/infiniflow/ragflow/issues

These products are independent integrations; they are not affiliated with or endorsed by Moodle Pty Ltd or InfiniFlow Inc.

Note: This documentation was created with the help of AI. Spotted an error, an omission, or something unclear? Please report it in the ragcon-docs GitHub repository so we can fix it.