🤖 AI Summary
            Zilliz Cloud (Milvus Cloud) — a fully managed, open‑source Milvus vector database — is now available on the AWS Marketplace. It delivers sub‑10ms search latency and can scale a single cluster to billions of vectors, with flexible deployment modes (Serverless, Dedicated Cluster — PAYG or contract — and BYOC) and tiered cluster types (performance‑, capacity‑, and extended‑capacity) to balance cost and throughput. The service supports hybrid search primitives (vector + BM25 full‑text), metadata filtering, range queries and JSON indexing, and integrates with GenAI toolkits like LangChain, LlamaIndex and Haystack to speed up RAG, recommender systems, image/video search, agentic workflows and anomaly detection.
For the AI/ML community this lowers friction for productionizing retrieval workloads: teams get enterprise‑grade scale, predictable latency, and options for tighter security/control (dedicated or bring‑your‑own‑cloud) while keeping portability because it’s based on open‑source Milvus. Practically, engineers can run billions‑vector retrieval with sub‑10ms responses, combine lexical and embedding search for higher recall/precision, and choose cost profiles that match workload patterns — all billed and supported through AWS Marketplace and integrated into existing AWS environments.
        
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