| # LangGraph Document Q&A Assistant | |
| This repository showcases a Document Question & Answering (Q&A) Assistant built using [LangGraph](https://gritholdings.gitbook.io/docs/langgraph) and the [DeepSeek-V3](https://huggingface.co/deepseek-ai/DeepSeek-V3) model. The assistant allows users to upload documents and receive AI-generated answers to their queries based on the content of those documents. | |
| ## Features | |
| - **Document Upload**: Users can upload various document formats for analysis. | |
| - **Intelligent Q&A**: Utilizes the DeepSeek-V3 model to provide accurate answers based on the uploaded document's content. | |
| - **Scalable Architecture**: Built with LangGraph to ensure modularity and scalability. | |
| ## Getting Started | |
| Follow these instructions to set up and run the project locally. | |
| ### Prerequisites | |
| - Python 3.8 or higher | |
| - [LangGraph](https://gritholdings.gitbook.io/docs/langgraph) | |
| - [DeepSeek-V3 model weights](https://huggingface.co/deepseek-ai/DeepSeek-V3) | |
| ### Installation | |
| 1. **Clone the Repository**: | |
| ```bash | |
| git clone https://huggingface.co/pragatheeswaran/langgraph-document-qa-assistant | |
| cd langgraph-document-qa-assistant | |