7db74222ee
<!-- .github/pull_request_template.md --> ## Description <!-- Provide a clear description of the changes in this PR --> ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin. Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
167 lines
5.8 KiB
Markdown
167 lines
5.8 KiB
Markdown
<div align="center">
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<a href="https://github.com/topoteretes/cognee">
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<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee-logo-transparent.png" alt="Cognee Logo" height="60">
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</a>
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<br />
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cognee - Memory for AI Agents in 5 lines of code
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<p align="center">
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<a href="https://www.youtube.com/watch?v=1bezuvLwJmw&t=2s">Demo</a>
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.
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<a href="https://cognee.ai">Learn more</a>
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·
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<a href="https://discord.gg/NQPKmU5CCg">Join Discord</a>
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</p>
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[](https://GitHub.com/topoteretes/cognee/network/)
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[](https://GitHub.com/topoteretes/cognee/stargazers/)
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[](https://GitHub.com/topoteretes/cognee/commit/)
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[](https://github.com/topoteretes/cognee/tags/)
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[](https://pepy.tech/project/cognee)
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[](https://github.com/topoteretes/cognee/blob/main/LICENSE)
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[](https://github.com/topoteretes/cognee/graphs/contributors)
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<a href="https://www.producthunt.com/posts/cognee?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_souce=badge-cognee" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=946346&theme=light&period=daily&t=1744472480704" alt="cognee - Memory for AI Agents  in 5 lines of code | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
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Build dynamic Agent memory using scalable, modular ECL (Extract, Cognify, Load) pipelines.
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More on [use-cases](https://docs.cognee.ai/use-cases) and [evals](https://github.com/topoteretes/cognee/tree/main/evals)
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<div style="text-align: center">
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<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/main/assets/cognee_benefits.png" alt="Why cognee?" width="50%" />
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</div>
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</div>
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## Features
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- Interconnect and retrieve your past conversations, documents, images and audio transcriptions
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- Reduce hallucinations, developer effort, and cost.
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- Load data to graph and vector databases using only Pydantic
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- Manipulate your data while ingesting from 30+ data sources
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## Get Started
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Get started quickly with a Google Colab <a href="https://colab.research.google.com/drive/1jHbWVypDgCLwjE71GSXhRL3YxYhCZzG1?usp=sharing">notebook</a> or <a href="https://github.com/topoteretes/cognee-starter">starter repo</a>
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## Contributing
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Your contributions are at the core of making this a true open source project. Any contributions you make are **greatly appreciated**. See [`CONTRIBUTING.md`](CONTRIBUTING.md) for more information.
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## 📦 Installation
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You can install Cognee using either **pip**, **poetry**, **uv** or any other python package manager.
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### With pip
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```bash
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pip install cognee
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```
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## 💻 Basic Usage
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### Setup
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```
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import os
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os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY"
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```
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You can also set the variables by creating .env file, using our <a href="https://github.com/topoteretes/cognee/blob/main/.env.template">template.</a>
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To use different LLM providers, for more info check out our <a href="https://docs.cognee.ai">documentation</a>
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### Simple example
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This script will run the default pipeline:
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```python
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import cognee
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import asyncio
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async def main():
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# Add text to cognee
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await cognee.add("Natural language processing (NLP) is an interdisciplinary subfield of computer science and information retrieval.")
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# Generate the knowledge graph
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await cognee.cognify()
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# Query the knowledge graph
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results = await cognee.search("Tell me about NLP")
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# Display the results
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for result in results:
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print(result)
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if __name__ == '__main__':
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asyncio.run(main())
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```
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Example output:
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```
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Natural Language Processing (NLP) is a cross-disciplinary and interdisciplinary field that involves computer science and information retrieval. It focuses on the interaction between computers and human language, enabling machines to understand and process natural language.
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```
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### cognee UI
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You can also cognify your files and query using cognee UI.
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<img src="assets/cognee-ui-2.webp" width="100%" alt="Cognee UI 2"></a>
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Try cognee UI out locally [here](https://docs.cognee.ai/how-to-guides/cognee-ui).
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## Understand our architecture
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<div style="text-align: center">
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<img src="assets/cognee_diagram.png" alt="cognee concept diagram" width="100%" />
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</div>
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## Demos
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1. What is AI memory:
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[Learn about cognee](https://github.com/user-attachments/assets/8b2a0050-5ec4-424c-b417-8269971503f0)
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2. Simple GraphRAG demo
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[Simple GraphRAG demo](https://github.com/user-attachments/assets/d80b0776-4eb9-4b8e-aa22-3691e2d44b8f)
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3. cognee with Ollama
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[cognee with local models](https://github.com/user-attachments/assets/8621d3e8-ecb8-4860-afb2-5594f2ee17db)
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## Code of Conduct
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We are committed to making open source an enjoyable and respectful experience for our community. See <a href="https://github.com/topoteretes/cognee/blob/main/CODE_OF_CONDUCT.md"><code>CODE_OF_CONDUCT</code></a> for more information.
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## 💫 Contributors
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<a href="https://github.com/topoteretes/cognee/graphs/contributors">
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<img alt="contributors" src="https://contrib.rocks/image?repo=topoteretes/cognee"/>
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</a>
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## Star History
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[](https://star-history.com/#topoteretes/cognee&Date)
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