Welcome to our GitHub repository dedicated to Retrieval-Augmented Generation (RAG) approaches tailored for various domains including healthcare, life sciences, insurance, finance, and supply chain management. This repository aims to provide a comprehensive collection of RAG implementations that cater to the unique needs and challenges of each domain.
- Finance - A platform that utilises RAG to address questions related to India's stock and securities exchange, providing insights into regulatory frameworks, guidelines and compliance.[Data]
- Healthcare - A RAG based chatbot capable of answering queries related to lung cancer.[Data]
- Insurance - A Q/A RAG bot which can be used for enquiring about insurance policies.[Data]
- LifeSciences - Build a strong Life Science Q&A bot, combine insights from research papers with foundational knowledge, and synthesize data from various sources.[Data]
- Suppychain - The Antiretroviral Shipment Query System improves ARV and HIV lab shipment logistics through technology and data insights, enhancing user access and efficiency.[Data]