⚠️ Note: This is a learning edition. For commercial use, please contact us for customized solutions!
⚠️ 注意: 这是学习版本。商业用途请联系我们定制解决方案!
An intelligent document analysis system that combines LangChain, Neo4j graph database, and large language models to create a knowledge graph-based RAG (Retrieval-Augmented Generation) application.
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📊 Automatic Knowledge Graph Construction
- PDF document processing and analysis
- Intelligent text segmentation
- Relationship extraction
- Interactive graph visualization
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🤖 Natural Language Q&A
- Context-aware responses
- Knowledge graph-based retrieval
- Multi-LLM support (DeepSeek, OpenAI)
- Real-time graph exploration
DataGraphX/
├── app.py # Main application file
├── api_utils.py # API utilities
├── config.py # Configuration settings
├── data_persistence_utils.py # Data persistence helpers
├── knowledge_graph_utils.py # Knowledge graph functions
├── requirements.txt # Project dependencies
├── cache/ # Cache directory
├── logo.png # Project logo
├── kg.jpg # Knowledge graph demo
└── qa.jpg # Q&A interface demo
- Clone repository:
git clone https://github.com/adoresever/DataGraphX_Learn.git
cd DataGraphX_Learn- Create and activate conda environment:
conda create -n datagraphx python=3.10 conda activate datagraphx
- Install dependencies:
pip install -r requirements.txt
- Start application:
streamlit run app.py
- Python 3.10+
- Neo4j Database Server
- DeepSeek/OpenAI API access
- CUDA-compatible GPU (recommended)
一个智能文档分析系统,结合了 LangChain、Neo4j 图数据库和大型语言模型,创建了一个基于知识图谱的 RAG(检索增强生成)应用。
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📊 自动知识图谱构建
- PDF文档处理与分析
- 智能文本分段
- 关系抽取
- 交互式图谱可视化
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🤖 自然语言问答
- 上下文感知响应
- 基于知识图谱的检索
- 多LLM支持(DeepSeek、OpenAI)
- 实时图谱探索
DataGraphX/
├── app.py # 主应用程序文件
├── api_utils.py # API工具
├── config.py # 配置设置
├── data_persistence_utils.py # 数据持久化助手
├── knowledge_graph_utils.py # 知识图谱功能
├── requirements.txt # 项目依赖
├── cache/ # 缓存目录
├── logo.png # 项目标志
├── kg.jpg # 知识图谱演示
└── qa.jpg # 问答界面演示
- 克隆仓库:
git clone https://github.com/adoresever/DataGraphX_Learn.git
cd DataGraphX_Learn- 创建并激活conda环境:
conda create -n datagraphx python=3.10 conda activate datagraphx
- 安装依赖:
pip install -r requirements.txt
- 启动应用:
streamlit run app.py
- Python 3.10+
- Neo4j 数据库服务器
- DeepSeek/OpenAI API 访问权限
- CUDA兼容GPU(推荐)
王宇 (Yu Wang) - wywelljob@gmail.com
2025新年快乐!
CC BY-NC-SA 4.0 - 详见 LICENSE 文件
🔒 商业定制
如需商业版本或定制开发,请联系:wywelljob@gmail.com