“Zilliz gave us real-time retrieval for our AI search system at scale with tight latency targets. It freed up engineering cycles and let us focus on improving reasoning on the model side, not managing infrastructure.”
Jeffrey WangCo-Founder, Exahero.title
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hero.buildClicurl -fsSL https://zilliz.com/cli/install.sh | bash
L'IA du monde réel, construite avec Zilliz
Découvrez comment les équipes utilisent Zilliz et Milvus pour mettre en production des agents RAG, de recherche, de recommandation et d'IA. Trouvez l'article qui correspond à votre pile d'IA.
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Entendez directement les constructeurs qui utilisent Zilliz et Milvus en production.
Jeffrey WangCo-Founder, Exa“Zilliz Cloud has helped us create a strong foundation behind the scenes as we continue to grow and serve hundreds of thousands of clinicians.”
Daniel NadlerFounder, OpenEvidence“Zilliz helps our teams deliver fast, reliable retrieval across complex legal workflows, so customers can find the context they need when it matters.”
Filevine TeamAI Product Team“Zilliz gave us the retrieval layer we needed for multilingual AI systems in production. It lets us stay focused on model quality while scaling infrastructure with confidence.”
Sarvam AI TeamEngineering Team“Milvus and Zilliz make it practical to power fast semantic retrieval across meeting intelligence workflows.”
Read AI TeamEngineering Team“Zilliz supports high-scale search experiences where latency and reliability are critical.”
Reddit TeamEngineering Team“Zilliz gives product teams a strong retrieval foundation for building AI-native workflows on structured and unstructured data.”
Airtable TeamEngineering Team“Zilliz helps us match people with the right opportunities through fast, relevant AI search.”
Jobright TeamEngineering Team