6.7 KiB
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, open-source learning platform for those interested in creating deterministic LLM outputs. We help developers by using graphs, LLMs, and adding vector retrieval to their Machine Learning stack.
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Get started — Get started with cognee quickly and try it out for yourself.
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Conceptual Overview — Learn about the core concepts of cognee and how it fits into your projects.
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Data Engineering and LLMOps — Learn about some data engineering and llmops core concepts that will help you build better AI apps.
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RAGs — We provide easy-to-follow learning materials to help you learn about RAGs.
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Research — A list of resources to help you learn more about cognee and LLM memory research
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Blog — A blog where you can read about the latest news and updates about cognee.
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Support — Book time with our team.
//: # (- Case Studies — Read about case studies that show how cognee can be used in real-world applications.)
Vision
Architecture
Why use cognee?
The question of using cognee is fundamentally a question of why to have deterministic outputs for your llm workflows.
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Cost-effective — cognee extends the capabilities of your LLMs without the need for expensive data processing tools.
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Self-contained — cognee runs as a library and is simple to use
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Interpretable — Navigate graphs instead of embeddings to understand your data.
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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.