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| # Multi-modal RAG based LLM for Information Retrieval | |
| In this project we have set up a RAG system with the following features: | |
| <ol> | |
| <li>Custom PDF input</li> | |
| <li>Multi-modal interface with support for images & text</li> | |
| <li>Feedback recording and reusage</li> | |
| <li>Usage of Agents for Context Retrieval</li> | |
| </ol> | |
| The project primarily runs on Streamlit<br> | |
| Here is the [Docker Image](https://hub.docker.com/repository/docker/pranavrao25/ragimage/general)<br> | |
| Procedure to run the pipeline: | |
| 1. Clone the project | |
| 2. If you want to run the docker image, then run ```docker_rag.sh``` file as ```/bin/zsh ./docker_rag.sh``` | |
| 3. Else if you want to run directly using streamlit, then: | |
| 1. Install the requirements through ```pip -r requirements.txt``` | |
| 2. Run the ```streamlit_rag.sh``` file as ```/bin/zsh ./streamlit_rag.sh``` | |