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Zilliz

Vector database for AI, powered by Milvus

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Zilliz is a fully managed vector database platform built on Milvus, designed to handle real-time vector search, lake-scale discovery, and batch analytics on a single source of truth. It supports hybrid retrieval combining vector, full-text, JSON, and geospatial search with filtering and reranking, and is available across AWS, Google Cloud, and Azure regions.

The platform offers tiered cluster types (Performance-optimized, Capacity-optimized, Tiered-storage), multi-tenancy with namespaces, global multi-region clusters with replication and failover, on-demand compute, and a CLI for management, search, and analytics. Integrations include LangChain, Haystack, DSPy, Langflow, n8n, Cohere, Voyage AI, Jina AI, vLLM, Databricks, Confluent, Prometheus, and Datadog, along with Python, JavaScript, .NET, and Ruby SDKs. Deployment options include SaaS, BYOC, and open-source Milvus.

Zilliz Cloud is suited for AI applications requiring semantic search, RAG, and retrieval workloads. It offers a free plan with limited storage and collections, 30-day trials for Standard and Enterprise editions, and editions ranging from Standard to Business Critical for regulated environments. Pricing is based on compute units and storage, with dedicated, serverless, and BYOC deployment options.

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