README.md

Multi-modal RAG-based LLM for Information Retrieval

In this project, we have set up a RAG (Retrieval-Augmented Generation) system with the following features:

1. Custom PDF Input: Upload and process PDF files.
2. Multi-modal Interface: Supports both images and text.
3. Feedback Recording and Reusage: Collects user feedback and reuses it for improving retrieval.
4. Usage of Agents for Context Retrieval: Uses agents to enhance context retrieval capabilities.

Running the Project

Using Docker

1. Clone the project repository.

2. To run the Docker image, execute the docker_rag.sh script:

   /bin/zsh ./docker_rag.sh