Vector Database Stories
From company news to technical tutorials – explore the most popular content on the Zilliz blog.

Product
Demystifying the Milvus Sizing Tool
Explore how to use the Sizing Tool to select the optimal configuration for your Milvus deployment.

Product
Balancing Precision and Performance: How Zilliz Cloud's New Parameters Help You Optimize Vector Search
Optimize vector search with Zilliz Cloud’s level and recall features to tune accuracy, balance performance, and power AI applications.

Engineering
Milvus + Surveillance: How Vector Databases Transform Multi-Camera Tracking
See how Milvus vector database enhances multi-camera tracking with similarity-based matching for better surveillance in retail, warehouses and transport hubs.

Engineering
ColPali + Milvus: Redefining Document Retrieval with Vision-Language Models
When combined with Milvus's powerful vector search capabilities, ColPali becomes a practical solution for real-world document retrieval challenges.

Engineering
How to Build RAG with Milvus, QwQ-32B and Ollama
Hands-on tutorial on how to create a streamlined, powerful RAG pipeline that balances efficiency, accuracy, and scalability using the QwQ-32B model and Milvus.

Community
Chain-of-Retrieval Augmented Generation
Explore CoRAG, a novel retrieval-augmented generation method that refines queries iteratively to improve multi-hop reasoning and factual answers.

Community
Cosmos World Foundation Model Platform for Physical AI
NVIDIA’s Cosmos platform pioneers GenAI for physical applications by enabling safe digital twin training to overcome data and safety challenges in physical AI modeling.

Community
1 Table = 1000 Words? Foundation Models for Tabular Data
TableGPT2 automates tabular data insights, overcoming schema variability, while Milvus accelerates vector search for efficient, scalable decision-making.

Community
Vector Databases vs. Object-Relational Databases
Use a vector database for AI-powered similarity search; use an object-relational database for complex data modeling with both relational integrity and object-oriented features.