Vector Database Stories
From company news to technical tutorials – explore the most popular content on the Zilliz blog.
Engineering
Will Amazon S3 Vectors Kill Vector Databases—or Save Them?
AWS S3 Vectors aims for 90% cost savings for vector storage. But will it kill vectordbs like Milvus? A deep dive into costs, limits, and the future of tiered storage.
Product
Announcing the General Availability of Single Sign-On (SSO) on Zilliz Cloud
SSO is GA on Zilliz Cloud, delivering the enterprise-grade identity management capabilities your teams need to deploy vectorDB with confidence.
Product
Zilliz Cloud Audit Logs Goes GA: Security, Compliance, and Transparency at Scale
Zilliz Cloud Audit Logs are GA—delivering security, compliance, and transparency at scale with real-time visibility and enterprise-ready audit trails.
Product
Zilliz Cloud Update: Smarter Autoscaling for Cost Savings, Stronger Compliance with Audit Logs, and More
Take a look at the latest release of Zilliz Cloud.
Engineering
Why I’m Against Claude Code’s Grep-Only Retrieval? It Just Burns Too Many Tokens
Learn how vector-based code retrieval cuts Claude Code token consumption by 40%. Open-source solution with easy MCP integration. Try claude-context today.
Community
How to Build an Enterprise-Ready RAG Pipeline on AWS with Bedrock, Zilliz Cloud, and LangChain
Build production-ready enterprise RAG with AWS Bedrock, Nova models, Zilliz Cloud, and LangChain. Complete tutorial with deployable code.
Community
Why Context Engineering Is Becoming the Full Stack of AI Agents
Context engineering integrates knowledge, tools, and reasoning into AI agents—making them smarter, faster, and production-ready with Milvus.
Product
Zilliz Cloud Launches in AWS Australia, Expanding Global Reach to Australia and Neighboring Markets
We're thrilled to announce that Zilliz Cloud is now available in the AWS Sydney, Australia region (ap-southeast-2).
Product
The Real Bottlenecks in Autonomous Driving — And How AI Infrastructure Can Solve Them
Autonomous driving is data-bound. Vector databases unlock deep insights from massive AV data, slashing costs and accelerating edge-case discovery.