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@ -32,6 +32,14 @@ Build dynamic Agent memory using scalable, modular ECL (Extract, Cognify, Load)
More on [use-cases](https://docs.cognee.ai/use_cases).
<p align="center">
🌐 Available Languages
:
<a href="community/README.pt.md">🇵🇹 Português</a>
·
<a href="community/README.zh.md">🇨🇳 [中文]</a>
</p>
<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>
@ -117,8 +125,8 @@ Example output:
```
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).
<a href="https://rawcdn.githack.com/topoteretes/cognee/refs/heads/main/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/main/assets/graph_visualization.html).
For more advanced usage, have a look at our <a href="https://docs.cognee.ai"> documentation</a>.

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<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 - AI应用和智能体的记忆层
<p align="center">
<a href="https://www.youtube.com/watch?v=1bezuvLwJmw&t=2s">演示</a>
.
<a href="https://cognee.ai">了解更多</a>
·
<a href="https://discord.gg/NQPKmU5CCg">加入Discord</a>
</p>
[![GitHub forks](https://img.shields.io/github/forks/topoteretes/cognee.svg?style=social&label=Fork&maxAge=2592000)](https://GitHub.com/topoteretes/cognee/network/)
[![GitHub stars](https://img.shields.io/github/stars/topoteretes/cognee.svg?style=social&label=Star&maxAge=2592000)](https://GitHub.com/topoteretes/cognee/stargazers/)
[![GitHub commits](https://badgen.net/github/commits/topoteretes/cognee)](https://GitHub.com/topoteretes/cognee/commit/)
[![Github tag](https://badgen.net/github/tag/topoteretes/cognee)](https://github.com/topoteretes/cognee/tags/)
[![Downloads](https://static.pepy.tech/badge/cognee)](https://pepy.tech/project/cognee)
[![License](https://img.shields.io/github/license/topoteretes/cognee?colorA=00C586&colorB=000000)](https://github.com/topoteretes/cognee/blob/main/LICENSE)
[![Contributors](https://img.shields.io/github/contributors/topoteretes/cognee?colorA=00C586&colorB=000000)](https://github.com/topoteretes/cognee/graphs/contributors)
可靠的AI智能体响应。
使用可扩展、模块化的ECL提取、认知、加载管道构建动态智能体记忆。
更多[使用场景](https://docs.cognee.ai/use_cases)。
<div style="text-align: center">
<img src="cognee_benefits_zh.JPG" alt="为什么选择cognee" width="100%" />
</div>
</div>
## 功能特性
- 互联并检索您的历史对话、文档、图像和音频转录
- 减少幻觉、开发人员工作量和成本
- 仅使用Pydantic将数据加载到图形和向量数据库
- 从30多个数据源摄取数据时进行数据操作
## 开始使用
通过Google Colab <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">笔记本</a><a href="https://github.com/topoteretes/cognee-starter">入门项目</a>快速上手
## 贡献
您的贡献是使这成为真正开源项目的核心。我们**非常感谢**任何贡献。更多信息请参阅[`CONTRIBUTING.md`](CONTRIBUTING.md)。
## 📦 安装
您可以使用**pip**、**poetry**、**uv**或任何其他Python包管理器安装Cognee。
### 使用pip
```bash
pip install cognee
```
## 💻 基本用法
### 设置
```
import os
os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY"
```
您也可以通过创建.env文件设置变量使用我们的<a href="https://github.com/topoteretes/cognee/blob/main/.env.template">模板</a>
要使用不同的LLM提供商请查看我们的<a href="https://docs.cognee.ai">文档</a>获取更多信息。
### 简单示例
此脚本将运行默认管道:
```python
import cognee
import asyncio
async def main():
# Add text to cognee
await cognee.add("自然语言处理NLP是计算机科学和信息检索的跨学科领域。")
# Generate the knowledge graph
await cognee.cognify()
# Query the knowledge graph
results = await cognee.search("告诉我关于NLP")
# Display the results
for result in results:
print(result)
if __name__ == '__main__':
asyncio.run(main())
```
示例输出:
```
自然语言处理NLP是计算机科学和信息检索的跨学科领域。它关注计算机和人类语言之间的交互使机器能够理解和处理自然语言。
```
图形可视化:
<a href="https://rawcdn.githack.com/topoteretes/cognee/refs/heads/main/assets/graph_visualization.html"><img src="https://rawcdn.githack.com/topoteretes/cognee/refs/heads/main/assets/graph_visualization.png" width="100%" alt="图形可视化"></a>
在[浏览器](https://rawcdn.githack.com/topoteretes/cognee/refs/heads/main/assets/graph_visualization.html)中打开。
有关更高级的用法,请查看我们的<a href="https://docs.cognee.ai">文档</a>
## 了解我们的架构
<div style="text-align: center">
<img src="cognee_diagram_zh.JPG" alt="cognee概念图" width="100%" />
</div>
## 演示
1. 什么是AI记忆
[了解cognee](https://github.com/user-attachments/assets/8b2a0050-5ec4-424c-b417-8269971503f0)
2. 简单GraphRAG演示
[简单GraphRAG演示](https://github.com/user-attachments/assets/f57fd9ea-1dc0-4904-86eb-de78519fdc32)
3. cognee与Ollama
[cognee与本地模型](https://github.com/user-attachments/assets/834baf9a-c371-4ecf-92dd-e144bd0eb3f6)
## 行为准则
我们致力于为我们的社区提供愉快和尊重的开源体验。有关更多信息,请参阅<a href="https://github.com/topoteretes/cognee/blob/main/CODE_OF_CONDUCT.md"><code>CODE_OF_CONDUCT</code></a>
## 💫 贡献者
<a href="https://github.com/topoteretes/cognee/graphs/contributors">
<img alt="contributors" src="https://contrib.rocks/image?repo=topoteretes/cognee"/>
</a>
## Star历史
[![Star History Chart](https://api.star-history.com/svg?repos=topoteretes/cognee&type=Date)](https://star-history.com/#topoteretes/cognee&Date)

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