Case Study: a pharmaceutical leader transforms R&D search and improves answer relevance with Progress Data Platform and Semaphore

Pharmaceutical Leader boosts correct answers 73% with Progress

A pharmaceutical leader faced a fragmented and inefficient enterprise search process across its R&D operations, which slowed decision-making and hindered drug development. Their outdated, keyword-based system made finding accurate information difficult. To address this, they partnered with Progress Software to transform their search capabilities using the Progress Data Platform.

Progress implemented an advanced Retrieval-Augmented Generation (RAG) search solution integrated with semantic knowledge graphs. This significantly improved search precision and relevance. The results were substantial: correct answers increased by 73% with a baseline semantic graph, and further refinements boosted accuracy by an additional 102%. Poor-quality answers were reduced by 59%, and the solution achieved an 85% relevance score with a 70% top-result click rate, laying a foundation for continuous improvement.