cognee¶

Deterministic LLMs Outputs for AI Engineers¶

Open-source framework for loading and structuring LLM context to create accurate and explainable AI solutions using knowledge graphs and vector stores

Let's learn about cogneeHub!¶

cogneeHub is a free and open-sourced learning platform for those interested in creating deterministic LLM outputs. We help people with using graphs, LLMs and adding vector retrieval to their ML stack.

• Get started — Get started with cognee quickly and try it out for yourself.
• Conceptual Overview — Learn about the core concepts of cognee and how it fits into your projects.
• Data Engineering and LLMOps — Learn about some data engineering and llmops core concepts that will help you build better AI apps.
• RAGs — We provide easy-to-follow learning materials to help you learn about RAGs.
• Research — A list of resources to help you learn more about cognee and LLM memory research
• Blog — A blog where you can read about the latest news and updates about cognee.
• Support — Book time with our team.

Vision¶

Architecture¶

Why use cognee?¶

The question of using cognee is fundamentally a question of why to have deterministic outputs for your llm workflows.

1. Cost-effective — cognee extends the capabilities of your LLMs without the need for expensive data processing tools.

2. Self-contained — cognee runs as a library and is simple to use

3. Interpretable — Navigate graphs instead of embeddings to understand your data.

4. User Guided — cognee lets you control your input and provide your own Pydantic data models

License¶

This project is licensed under the terms of the Apache License 2.0.