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# 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
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