How Anima Health scaled clinical document intelligence with Qdrant - Qdrant

This post details how Anima Health uses Qdrant for clinical document intelligence, focusing on the challenges of unstructured data and the need for privacy-preserving AI. Qdrant serves as a retrieval layer in agentic pipelines for tasks like SNOMED code recommendation, leveraging vector embeddings and metadata. Key benefits highlighted include Qdrant's deployment flexibility (self-hosted, UK residency), cost predictability for retrieval-intensive pipelines, and vector-native features like payload filtering and multivector support for managing diverse EHR systems and embedding models. The system scaled without operational overhead, enabling Anima to build more agentic workflows and explore temporal relevance and flexible AI stacks.