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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``` | |