Unlock PDF Search in Insurance with MongoDB & SuperDuperDB

The insurance industry is heavily document-driven, with professionals spending significant time reviewing documentation in PDF format. Retrieval-augmented generation (RAG) applications can help by enabling accessibility and flexibility to unstructured data. By combining MongoDB and SuperDuperDB, a RAG-powered system for PDF search can be created, improving efficiency and accuracy in this cumbersome task. This application allows users to type questions in natural language, providing answers, summarizing document content, and indicating the source of information. Combining Atlas Vector Search and LLMs can directly impact an insurance company's bottom line by speeding up data processing and reducing errors. SuperDuperDB is an open-source Python framework that enables developers to build, deploy, and manage AI on their existing data infrastructure, making it easier to integrate AI models with databases for more flexible and scalable custom enterprise AI solutions.