Pathwork Optimizes Life Insurance Underwriting with Precision Vector Search - Qdrant

This post details how Pathwork used Qdrant's filtered vector search capabilities, including scalar quantization, hybrid search, and advanced filter utilization, to significantly improve the accuracy and performance of their life insurance underwriting system. They achieved a reduction in Mean Squared Error (MSE) from 3.5 to 1.8 and decreased query latency from 9 seconds to 2 seconds. The post also highlights Qdrant's scalability features, such as sharding and replicas, which Pathwork utilized to handle a 50% month-over-month usage growth.