Built on open-source Milvus, Zilliz’s cloud serverless offers an auto-scaling vector database for effortless application building. With automated tiered storage, you can enjoy higher performance and lower costs—no need for expensive in-memory databases.
Hey Product Hunt 👋
Jiang here, Head of Ecosystem and DevRel at Zilliz.
We're thrilled to launch Zilliz Cloud Serverless, our newest vector database solution for GenAI applications. As Generative AI explodes, especially with techniques like RAG (Retrieval Augmented Generation), we recognize the need for more efficient, scalable vector database solutions for GenAI use cases. Our team, leveraging years of experience with AI and distributed systems from companies like Google, Yahoo, Apple, and Oracle, developed Zilliz Cloud Serverless to address these emerging challenges.
Here's what makes Zilliz Cloud Serverless a game-changer:
🚀 Up to 50x cost savings vs in-memory databases, thanks to tiered storage (DRAM, SSD, object storage)
🔍 Advanced AutoIndex methods (Flat, IVFFlat, HNSW) for optimal search quality and performance
🌊 Efficient handling of both streaming and historical data with dedicated node types
⚡ Auto-scaling architecture with logical clusters adapting to varying workloads
🔐 Multi-tenancy support with hot-cold data separation for optimized performance and cost
🔗 Seamless integration with AI frameworks like LangChain, Spark, and Hugging Face
🔢 Flexible vector search operations: dense, sparse, or hybrid, with scalar filtering options
We're excited to see how Zilliz Cloud Serverless can supercharge your GenAI projects. Give it a spin at https://zilliz.com/serverless!
Join our community! We're here to support your vector search needs in this new era of AI and can't wait to see you at http://milvus.io/discord!
