Core Concepts

What cognee does is not trivial, nor is it rocket surgery.

These fundamental concepts will help you understand how cognee works and how to leverage its capabilities effectively.

We will explain the key components and principles that power cognee’s knowledge graph system.

• Architecture shows cognee’s system design, components, and how they work together to create a powerful knowledge graph platform.
• Tasks are the building blocks of cognee’s data processing pipeline.
• Pipelines are the data processing workflows that transform raw information into structured knowledge graphs.
• Data Ingestion can import and process data from various sources to build comprehensive knowledge graphs.
• Chunking is how cognee breaks down large datasets into manageable pieces for efficient processing and analysis.
• Graph Generation is the process of creating and maintaining semantic knowledge graphs from your data.
• Node Sets provide a simple yet powerful tagging mechanism that helps in managing the growing complexity of your knowledge base as you add more content.
• Ontologies structure and organize knowledge in meaningful ways.