
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.

Engineering
Choosing a Vector Database: Milvus vs. Chroma DB
In-depth differences between Milvus and Chroma vector databases

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.

Company
Webinar Recap: Boost Your LLM with Private Data Using LlamaIndex
Get answers to the most common questions about using LlamaIndex with Milvus and Zilliz.

Engineering
An Overview of Milvus Storage System and Techniques to Evaluate and Optimize Its Performance
This guide will delve into Milvus' architecture, break down its key storage components, and explore effective techniques to evaluate their performance. An Overview of Milvus Storage System and Techniques to Evaluate and Optimize Its Performance

Community
Boosting Work Efficiency with Generative AI Use Cases
This blog will explore how Generative AI (GenAI) applications can boost work efficiency.

Case Study
Optimizing User Experience: BIGO Leverages Milvus for Duplicate Video Removal
Exploring challenges BIGO faced, why it chose the Milvus vector database to power its video deduplication system, and how Milvus came to the rescue.

Case Study
Shaping Tomorrow: How Milvus Powers Shopee's Multimedia Ambition
Exploring how Milvus helps Shopee revolutionize its multimedia business with enhanced user experience and streamlined operation.

Community
What Exactly Are AI Agents? Why OpenAI and LangChain Are Fighting Over Their Definition?
AI agents are software programs powered by artificial intelligence that can perceive their environment, make decisions, and take actions to achieve a goal—often autonomously.