Case Study: Swisscom launches a new GenAI banking search use case in 12 weeks with MongoDB

Swisscom stands up Gen AI banking use case in 12 weeks with MongoDB

Swisscom, Switzerland's leading telecommunications provider, sought to streamline access to a vast library of expert banking content for its e.foresight think tank. Their challenge was to use generative AI to deliver faster and more accurate search results and summaries from this extensive, growing collection of documents for its banking clients. They partnered with MongoDB to leverage MongoDB Atlas and Vector Search.

MongoDB implemented a solution using MongoDB Atlas and Vector Search to power a retrieval-augmented generation (RAG) application. This enabled the AI to understand and summarize content efficiently. The development time for the first solution was just six days, and the project was completed within 12 weeks. The results transformed the speed and accuracy of search requests, delivering highly relevant, concrete answers that improved content accessibility for users.

Swisscom