Overview

What are Knowledge?

Knowledge define specific rules and guidelines that AI must follow when processing requests. They can include coding standards, writing styles, security requirements, or any custom behavior rules.

Scoped Control

Knowledge can be scoped to individual users, teams, or entire organizations, providing flexible control over AI behavior at different levels.

Knowledge Structure

Each knowledge contains the following components:

Creating Knowledge

1

Define Your Rules

Write clear, specific guidelines that you want the AI to follow. These can include:
  • Response formatting standards
  • Writing tone and style requirements
  • Internal Tribal Knowledge, Policies, Acronyms, etc.
  • Domain-specific requirements
2

Set the Scope

Choose whether the knowledge applies to:
  • Individual: Personal use only
  • Team: All team members (main)
  • Organization: Everyone in your organization
3

Activate the Knowledge

Once created, knowledge can be activated and applied to AI interactions automatically based on their scope. You can select knowledge using the dropdown in the main chat page.

Best Practices

Keep rules specific and actionable. Vague rules like “be creative” are less effective than specific guidelines like “use TypeScript interfaces for all data structures.”
Avoid conflicting rules. When multiple knowledge are active, ensure they don’t contain contradictory requirements.

Integration with Workflows

Knowledge work seamlessly with workflows to provide comprehensive AI guidance:
  • Active Knowledge: Always applied during workflow execution
  • Workflow-Specific Rules: Some workflows may have embedded rule requirements
  • Scope Inheritance: Workflows inherit applicable knowledge based on their scope