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Zilliz Achieves AWS Agentic AI Specialization for Autonomous AI Systems


Zilliz Achieves AWS Agentic AI Specialization for Autonomous AI Systems
  • by: Source Logo
  • |
  • December 2, 2025

Zilliz, creator of the world’s most widely adopted open-source vector database Milvus, has achieved the new Amazon Web Services (AWS) Agentic AI Specialization within the AWS AI Competency, recognizing its proven expertise in enabling customers to deploy intelligent, self-operating AI agents that independently reason, plan, collaborate, and execute complex business processes at scale.

Quick Intel

  • First AWS specialization dedicated to agentic AI—autonomous systems that think and act independently
  • Zilliz powers Amazon Bedrock Agents with high-performance long-term memory and contextual retrieval
  • Enables secure, multitenant agent deployments across enterprise knowledge bases
  • Delivers sub-10ms latency at billion-scale with hybrid search and RAG optimization
  • Used by 10,000+ organizations for semantic search, multi-agent orchestration, and process automation
  • Customer quote: 40% accuracy boost via Zilliz Cloud hybrid search (Rexera)

The Foundation of Trustworthy Agentic AI

Agentic AI marks the shift from reactive chatbots to proactive, goal-driven systems that manage end-to-end workflows with human oversight. Zilliz’s vector database technology provides the critical memory layer these agents require—persistent state, multimodal retrieval, contextual understanding, and multi-step reasoning across massive enterprise datasets.

Charles Xie, CEO and Co-Founder of Zilliz: “Agentic AI represents the next chapter of enterprise automation. Achieving this AWS specialization reflects our shared commitment to giving enterprises the foundation needed to build AI agents that deliver real operational impact—not just prototypes. By combining Zilliz's high-performance vector database with Amazon Bedrock Agents, customers gain the memory, context, and reliability required to move from experimentation to trustworthy autonomous systems at scale.”

Enterprise-Grade Security and Performance

Zilliz Cloud and Milvus deliver the reliability, security, and scalability enterprises demand:

  • Built-in multitenancy and fine-grained access controls
  • End-to-end encryption and role-based permissions
  • Auto-scaling with sub-10ms latency at billion-vector scale
  • Hybrid search combining vector + keyword + metadata for maximum accuracy

These capabilities make Zilliz the backbone for agentic AI deployments in regulated industries and large organizations running sensitive, mission-critical workflows.

Sasidhar Janaki, Senior Software Engineer at Rexera: “Working with Zilliz Cloud has been transformative for our AI agent architecture. The hybrid search capability alone delivered a 40% improvement in accuracy, and the scalability means we never worry about performance, even during peak traffic periods.”

Driving Real Business Outcomes

The AWS Agentic AI Specialization validates partners that help customers deploy autonomous systems across use cases including intelligent process automation, autonomous customer operations, financial operations, supply chain optimization, and enterprise knowledge management.

With this designation, Zilliz joins an elite group of AWS Partners proven to move agentic AI from prototype to production with measurable ROI.

 

About Zilliz

Zilliz is the company behind Milvus, the world's most widely adopted open-source vector database. Zilliz Cloud brings that performance to production with a fully managed, cloud-native platform built for scalable, low-latency vector search and hybrid retrieval. It supports billion-scale workloads with sub-10ms latency, auto-scaling, and optimized indexes for GenAI use cases like semantic search and RAG.

Zilliz is built to make AI not just possible—but practical. With a focus on performance and cost-efficiency, it helps engineering teams move from prototype to production without overprovisioning or complex infrastructure. Over 10,000 organizations worldwide rely on Zilliz to build intelligent applications at scale.

  • Agentic AIEnterprise AI
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