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