How Sunny Health Built an AI Healthcare Concierge with Qdrant - Qdrant

This post details how Sunny Health migrated their provider matching workload from Postgres and fuzzy matching to Qdrant. They leveraged Qdrant's hybrid search capabilities to combine hard filters (network status, license, language) with semantic similarity and geo-ranking in a single query. This resulted in up to a 57% reduction in retrieval latency for complex queries and improved accuracy for their AI healthcare concierge. The flexible JSON payload model was crucial for handling deeply nested provider data. Future plans include using Qdrant for insurance carrier matching, semantic specialty mapping, and as long-term memory for their agent.