Qdrant
41 Case Studies
A Qdrant Case Study
TrustGraph aimed to build a production-ready agentic AI platform that could overcome the common failure modes of demo-grade systems, such as poor reliability at scale and a lack of compliance. Their challenge was to move beyond impressive prototypes to create a resilient, deterministic, and scalable enterprise infrastructure.
By using Qdrant for fast and reliable vector similarity search, TrustGraph implemented a core part of their solution. This was integrated with a streaming data spine and a knowledge graph, enabling a retrieval process that grounds answers in factual relationships rather than just text chunks. The results were a production-grade platform offering determinism, resilience, and scalability that meets strict European data sovereignty requirements, with Qdrant providing the necessary speed and operational simplicity.