Case Study: Credal AI achieves secure, scalable GenAI with Milvus from Zilliz

A Zilliz Case Study

Preview of the Credal AI Case Study

Credal AI Unlocks Secure, Governable GenAI with Milvus

Credal AI, a company making generative AI safe and accessible for enterprises, needed a vector database to provide scalable, secure semantic search for its complex workflows. Essential vector search plugins proved insufficient for handling their large datasets in real-time across diverse hosting environments. They required a high-performance, self-hosted solution supported by a strong open-source community.

Zilliz provided the Milvus vector database, which met all of Credal AI's technical requirements with its hybrid search capabilities and decoupled storage/compute architecture. Implemented on Amazon EKS, Milvus delivered the robust performance and scalability needed, allowing Credal AI to confidently focus on product development. The solution was so successful that Credal AI is now considering Zilliz Cloud, the managed service from Zilliz, for its future cloud-based clients.


View this case study…

Credal AI

Jack Fischer

Co-founder & CTO


Zilliz

15 Case Studies