Case Study: TrustGraph achieves enterprise-grade agentic AI with Qdrant

A Qdrant Case Study

Preview of the TrustGraph Case Study

TrustGraph builds enterprise-grade agentic AI for 24×7 uptime with Qdrant

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.


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