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📘 Feed the Didask AI Knowledge Base

Your knowledge base is the heart of Didask AI: its quality and maintenance directly determine the effectiveness of the coach and the assistant.

Written by Océane

⏱️ The Essentials in 3 Minutes

• Without a populated knowledge base, Didask's AI features cannot be activated.
• Three sources exist: Didask training courses (automatic), manually imported documents, and automatic connectors (on quote).
• For manual documents, you can define access rights by training space or user group.
• Use usage data (knowledge ranking, feedback) to prioritize enrichments.


🧠 Understand the Pedagogical Value of Feeding the Knowledge Base

The knowledge base determines what the AI can do for your collaborators. It is not a simple document repository: it is the foundation from which the AI understands your organization, answers questions accurately, and supports each learner in their context.

Feeding the base carefully means choosing which knowledge deserves to be made accessible to your teams when they need it. Quality, relevance, and regular updates are the three pillars of a truly useful base.


🚀 Know the Three Sources

1. Training courses created on Didask - automatic integration

All your training content created in the Didask editor is automatically added to the base. Updates happen in real time: every change to a training course is immediately reflected. No action is required on your part.

2. Manual document import

From the "Documents" tab in the Knowledge Base section, you can import your documents via drag-and-drop or file selection.

  • Supported formats: PDF, DOC/DOCX, XLS/XLSX, CSV, MD, PPT/PPTX, PNG/JPG/JPEG

  • Size limit: 30 MB maximum per file

This option is ideal for your internal procedures, operational guides, internal policies, and technical documentation.

3. Automatic connectors

Connectors allow automatic synchronization from your collaborative tools (e.g. SharePoint), with daily content updates. This feature is available on quote - contact the Didask team to learn more.


📑 Manage Document Access Rights

For manually imported documents, you can define specific access rights:

  • Public: all users with access to the AI can view the document

  • Restricted by training space: access limited to members of specific spaces

  • Restricted by group: access limited to specific user groups

Rights are configurable at import time and apply individually to each document. A user can only access information contained in documents they have rights to.

📌 Practical example: an HR document can be limited to managers, while a product guide remains accessible to all sales staff.


🤖 Optimize the Base Continuously Using Usage Data

Once the base is deployed, use usage data to guide your priorities. The "most used knowledge" ranking reveals the priority topics for your teams: enrich these first with more details, examples, and practical cases.

Also analyze negative feedback to identify gaps or inaccuracies. Documents generating "incomplete response" or "off-topic" reactions likely need restructuring or supplementing.


✨ Optimization Tips

  • Start simple: your existing training courses already form an excellent base. Gradually add your most-consulted business documents.

  • Organize access rights from the start: define a clear access rights logic to avoid confusion during deployment.

  • Quality over quantity: prioritize up-to-date, well-structured documents over a large volume of outdated content.


Keywords: knowledge base, feeding, document import, connectors, access rights, Didask AI, coach.

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