14237f64e2
<!-- .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>
153 lines
5.8 KiB
Markdown
153 lines
5.8 KiB
Markdown
<div align="center">
|
|
<a href="https://github.com/topoteretes/cognee">
|
|
<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee-logo-transparent.png" alt="Cognee Logo" height="60">
|
|
</a>
|
|
|
|
<br />
|
|
|
|
cognee - memory layer for AI apps and Agents
|
|
|
|
<p align="center">
|
|
<a href="https://www.youtube.com/watch?v=1bezuvLwJmw&t=2s">Demo</a>
|
|
.
|
|
<a href="https://cognee.ai">Learn more</a>
|
|
·
|
|
<a href="https://discord.gg/NQPKmU5CCg">Join Discord</a>
|
|
</p>
|
|
|
|
|
|
[](https://GitHub.com/topoteretes/cognee/network/)
|
|
[](https://GitHub.com/topoteretes/cognee/stargazers/)
|
|
[](https://GitHub.com/topoteretes/cognee/commit/)
|
|
[](https://github.com/topoteretes/cognee/tags/)
|
|
[](https://pepy.tech/project/cognee)
|
|
[](https://github.com/topoteretes/cognee/blob/main/LICENSE)
|
|
[](https://github.com/topoteretes/cognee/graphs/contributors)
|
|
|
|
AI Agent responses you can rely on.
|
|
|
|
|
|
|
|
Build dynamic Agent memory using scalable, modular ECL (Extract, Cognify, Load) pipelines.
|
|
|
|
More on [use-cases](https://docs.cognee.ai/use_cases).
|
|
|
|
<div style="text-align: center">
|
|
<img src="https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee_benefits.png" alt="Why cognee?" width="100%" />
|
|
</div>
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
## Features
|
|
|
|
- Interconnect and retrieve your past conversations, documents, images and audio transcriptions
|
|
- Reduce hallucinations, developer effort, and cost.
|
|
- Load data to graph and vector databases using only Pydantic
|
|
- Manipulate your data while ingesting from 30+ data sources
|
|
|
|
## Get Started
|
|
|
|
Get started quickly with a Google Colab <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">notebook</a> or <a href="https://github.com/topoteretes/cognee-starter">starter repo</a>
|
|
|
|
## Contributing
|
|
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.
|
|
|
|
|
|
|
|
|
|
|
|
## 📦 Installation
|
|
|
|
You can install Cognee using either **pip**, **poetry**, **uv** or any other python package manager.
|
|
|
|
### With pip
|
|
|
|
```bash
|
|
pip install cognee
|
|
```
|
|
|
|
## 💻 Basic Usage
|
|
|
|
### Setup
|
|
|
|
```
|
|
import os
|
|
os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY"
|
|
|
|
```
|
|
|
|
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>
|
|
To use different LLM providers, for more info check out our <a href="https://docs.cognee.ai">documentation</a>
|
|
|
|
|
|
### Simple example
|
|
|
|
This script will run the default pipeline:
|
|
|
|
```python
|
|
import cognee
|
|
import asyncio
|
|
|
|
|
|
async def main():
|
|
# Add text to cognee
|
|
await cognee.add("Natural language processing (NLP) is an interdisciplinary subfield of computer science and information retrieval.")
|
|
|
|
# Generate the knowledge graph
|
|
await cognee.cognify()
|
|
|
|
# Query the knowledge graph
|
|
results = await cognee.search("Tell me about NLP")
|
|
|
|
# Display the results
|
|
for result in results:
|
|
print(result)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
asyncio.run(main())
|
|
|
|
```
|
|
Example output:
|
|
```
|
|
# ({'id': UUID('bc338a39-64d6-549a-acec-da60846dd90d'), 'updated_at': datetime.datetime(2024, 11, 21, 12, 23, 1, 211808, tzinfo=datetime.timezone.utc), 'name': 'natural language processing', 'description': 'An interdisciplinary subfield of computer science and information retrieval.'}, {'relationship_name': 'is_a_subfield_of', 'source_node_id': UUID('bc338a39-64d6-549a-acec-da60846dd90d'), 'target_node_id': UUID('6218dbab-eb6a-5759-a864-b3419755ffe0'), 'updated_at': datetime.datetime(2024, 11, 21, 12, 23, 15, 473137, tzinfo=datetime.timezone.utc)}, {'id': UUID('6218dbab-eb6a-5759-a864-b3419755ffe0'), 'updated_at': datetime.datetime(2024, 11, 21, 12, 23, 1, 211808, tzinfo=datetime.timezone.utc), 'name': 'computer science', 'description': 'The study of computation and information processing.'})
|
|
```
|
|
Graph visualization:
|
|
<a href="https://rawcdn.githack.com/topoteretes/cognee/refs/heads/add-visualization-readme/assets/graph_visualization.html"><img src="assets/graph_visualization.png" width="100%" alt="Graph Visualization"></a>
|
|
Open in [browser](https://rawcdn.githack.com/topoteretes/cognee/refs/heads/add-visualization-readme/assets/graph_visualization.html).
|
|
|
|
For more advanced usage, have a look at our <a href="https://docs.cognee.ai"> documentation</a>.
|
|
|
|
|
|
## Understand our architecture
|
|
|
|
<div style="text-align: center">
|
|
<img src="assets/cognee_diagram.png" alt="cognee concept diagram" width="100%" />
|
|
</div>
|
|
|
|
|
|
|
|
## Demos
|
|
|
|
What is AI memory:
|
|
|
|
[Learn about cognee](https://github.com/user-attachments/assets/8b2a0050-5ec4-424c-b417-8269971503f0)
|
|
|
|
|
|
## Code of Conduct
|
|
|
|
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.
|
|
|
|
## 💫 Contributors
|
|
|
|
<a href="https://github.com/topoteretes/cognee/graphs/contributors">
|
|
<img alt="contributors" src="https://contrib.rocks/image?repo=topoteretes/cognee"/>
|
|
</a>
|
|
|
|
|
|
## Star History
|
|
|
|
[](https://star-history.com/#topoteretes/cognee&Date)
|