How-to Guides

What you want to do with cognee is up to you, and we’re here to help.

These practical guides will help you accomplish specific tasks and customize cognee to your needs.

We will walk through common scenarios and solutions that you’ll encounter while working with cognee.

Cognee UI

Start here to learn about cognee’s user interface and visual tools:

Cognee UI explains how to setup and interact with cognee via interactive UI.
Graph Visualization helps you explore and understand your knowledge graphs visually.

Integrate Cognee with MCP-compatible development tools:

Cognee MCP provides seamless connectivity with MCP-compatible AI development tools.
MCP Integration shows you how to integrate with Model Context Protocol.

Integrate cognee programmatically and customize it for your specific needs:

Cognee SDK provides comprehensive tools and APIs for building with cognee.
Deployment shows you how to get cognee up and running in your environment.
Configuration explains how to customize cognee settings for your specific needs.
Custom Tasks shows you how to define your own tasks.
Custom Pipelines walks you through the making of custom operations and workflows.
Own Data Model helps you create and integrate custom data structures.
User Permissions guides you through managing user authentication and access control.
Alembic Migrations will manage your database schema changes over time.
Search Guide teaches you how to effectively query and retrieve information from your graphs.
Optimization covers techniques like Descriptive Metrics and the Evaluation Framework to improve performance.

Deploy and scale cognee in cloud environments:

Cognee Cloud provides scalable, managed infrastructure for production deployments.
Remote Models shows you how to integrate cloud-based AI models.
Local Models guides you through setting up and using models on your own infrastructure.