Vector Database Stories
From company news to technical tutorials – explore the most popular content on the Zilliz blog.
Product
Introducing Zilliz MCP Server: Natural Language Access to Your Vector Database
The Zilliz MCP Server enables developers to manage vector databases using natural language, simplifying database operations and AI workflows.
Company
Zilliz Named "Highest Performer" and "Easiest to Use" in G2's Summer 2025 Grid® Report for Vector Databases
This dual recognition shows that Zilliz solved a challenge that has long defined the database industry—delivering enterprise-grade performance without the complexity typically associated with it.
Product
Our Journey to 35K+ GitHub Stars: The Real Story of Building Milvus from Scratch
Join us in celebrating Milvus, the vector database that hit 35.5K stars on GitHub. Discover our story and how we’re making AI solutions easier for developers.
Community
Why Not All VectorDBs Are Agent-Ready
Explore why choosing the right vector database is critical for scaling AI agents, and why traditional solutions fall short in production.
Product
Creating Collections in Zilliz Cloud Just Got Way Easier
We've enhanced the entire collection creation experience to bring advanced capabilities directly into the interface, making it faster and easier to build production-ready schemas without switching tools.
Product
Announcing the General Availability of Zilliz Cloud BYOC on Google Cloud Platform
Zilliz Cloud BYOC on GCP offers enterprise vector search with full data sovereignty and seamless integration.
Engineering
Build for the Boom: Why AI Agent Startups Should Build Scalable Infrastructure Early
Explore strategies for developing AI agents that can handle rapid growth. Don't let inadequate systems undermine your success during critical breakthrough moments.
Product
Democratizing AI: Making Vector Search Powerful and Affordable
Zilliz democratizes AI vector search with Milvus 2.6 and Zilliz Cloud for powerful, affordable scalability, cutting costs in infrastructure, operations, and development.
Community
8 Latest RAG Advancements Every Developer Should Know
Explore eight advanced RAG variants that can solve real problems you might be facing: slow retrieval, poor context understanding, multimodal data handling, and resource optimization.