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

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

5/21/2026 · Daniel Azoulai

What this post added

Sunny Health migrated their core retrieval workload from Postgres to Qdrant, focusing on provider matching. They leveraged Qdrant's hybrid search capabilities, combining hard filters (network adequacy, licensing, language) with semantic similarity ranking. This resulted in up to a 57% reduction in retrieval latency for complex queries. The post highlights the importance of Qdrant's flexible JSON payload model for deeply nested provider data and its first-class geo re-ranking. Future plans include using Qdrant for insurance carrier matching, semantic specialty mapping, and as an agent memory layer.

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