This repository contains the implementation of the Response Generator system, which generates responses for non-sensitive emails using a Retrieval Augmented Generation (RAG) system. The RAG system retrieves relevant information from specific documents and websites to construct accurate and helpful replies.
- Automated Response Generation: Generates responses for non-sensitive emails using the RAG system.
- Integration with Categorizer: Receives non-sensitive emails from the Email Categorizer system for processing.
- Information Retrieval: Utilizes specific documents and websites to gather relevant information for responses.
- Improve response efficiency by automating replies to non-sensitive emails.
- Ensure responses are accurate and contextually relevant by leveraging the RAG system.
- Maintain a high standard of data privacy and user consent.