Knowledge Base FAQs

Question 1

What key functionalities are available for AI agents?

Accepted Answer

AI agents gain access to eight dedicated operations, including navigating the knowledge graph (getting root themes, folder trees, node children/parents), creating new content (folders, skills), performing semantic search across various knowledge elements, and leveraging AI for generating learning tools and questions.

Question 2

How does it ensure security and handle multiple tenants?

Accepted Answer

Security is paramount, utilizing JWT Authentication for all tool calls, verifying tokens with a shared secret. For multi-instance deployments, it automatically extracts the tenant ID from the JWT to facilitate tenant-aware routing, ensuring robust data isolation and secure backend communication.

Question 3

Does it support AI-powered content generation and intelligent search?

Accepted Answer

Yes, it features robust semantic search capabilities, using vector similarity across themes, skills, and knowledge nodes for highly intelligent information retrieval. Additionally, it includes an AI-powered tool specifically for generating comprehensive learning tools and questions based on defined skill nodes.

Question 4

What is the Knowledge Base tool designed for?

Accepted Answer

The Knowledge Base tool provides a set of secure, tenant-aware operations for AI agents to programmatically manage and query a Django-backed knowledge base. It functions as an MCP server, exposing these functionalities as accessible tools for AI agents.

Knowledge Base

Knowledge Base

Key Features

Use Cases

Key Features

Use Cases