Engineering
From Text to Image: Fundamentals of CLIP
Search algorithms rely on semantic similarity to retrieve the most relevant results. With the CLIP model, the semantics of texts and images can be connected in a high-dimensional vector space. Read this simple introduction to see how CLIP can help you build a powerful text-to-image service.
Product
Zilliz Cloud, the new billion-scale offering
Support for billion-scale, performance updates, GCP, AWS Marketplace, Rolling upgrades, Backup and Restore, Recycler bin, Migration from Milvus, & more!
Product
How to Select the Most Appropriate CU Type and Size for Your Business?
Explore Zilliz Cloud’s three CU options and learn how to choose the most suitable one for your business
Product
Designing Multi-Tenancy RAG with Milvus: Best Practices for Scalable Enterprise Knowledge Bases
We’ve explored how multi-tenancy frameworks play a critical role in the scalability, security, and performance of RAG-powered knowledge bases.
Product
How to Choose the Right Milvus Deployment Mode for Your AI Applications
Comparing Milvus Lite, Standalone, and Distributed—deployment modes for different stages, data sizes, and use cases, ensuring seamless project scalability.
Engineering
Dissecting OpenAI's Built-in Retrieval: Unveiling Storage Constraints, Performance Gaps, and Cost Concerns
Delve into the intricacies of OpenAI Assistants, exploring its pricing, architecture, and potential optimizations for cost-efficiency and enhanced storage capabilities.
Product
Zilliz Cloud Latest Update: A Game-Changer Bringing Elite Performance within Reach of All Developers
Zilliz Cloud has just released a game-changing update for developers looking to implement generative AI applications.