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# Multi-modal RAG-based LLM for Information Retrieval
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In this project, we have set up a RAG (Retrieval-Augmented Generation) system with the following features:
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1. **Custom PDF Input**: Upload and process PDF files.
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2. **Multi-modal Interface**: Supports both images and text.
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3. **Feedback Recording and Reusage**: Collects user feedback and reuses it for improving retrieval.
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4. **Usage of Agents for Context Retrieval**: Uses agents to enhance context retrieval capabilities.
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## Running the Project
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### Using Docker
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1. Clone the project repository.
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2. To run the Docker image, execute the `docker_rag.sh` script:
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```bash
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/bin/zsh ./docker_rag.sh
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