
Scaling Vector Search: How Milvus Handles Billions of Embeddings
In today’s AI-driven world, vector databases have become critical infrastructure for applications requiring similarity search across massive datasets. As embedding models become more sophisticated and datasets grow exponentially, the ability to efficiently search through billions […]