Case Study: a Fortune 500 pharmaceutical company boosts sales conversions with MongoDB Atlas Vector Search

Fortune 500 Pharmaceutical Company boosts sales conversions by 6% with MongoDB

A major fortune 500 pharmaceutical company faced the challenge of building a secure, hallucination-resistant RAG application for its 15,000-person sales team. They needed to provide real-time, conversational AI guidance using sensitive proprietary data while enforcing strict user-level access controls and ensuring zero data leakage to public LLMs. They partnered with MongoDB to build this solution using MongoDB Atlas and MongoDB Atlas Vector Search.

MongoDB provided a unified JSON and vector data platform, enabling the implementation of a secure, filtered RAG system in a single query. This solution resulted in a 6% lift in sales conversions for the client and achieved a median query latency of less than 18 milliseconds. MongoDB's platform allowed the solution to scale securely from a startup to an enterprise level, all managed by a lean team of just 16 engineers.