AI/ML/Vector DB

You might not know it yet, but vector embeddings are everywhere. They are the building blocks of many machine learning and deep learning algorithms used by applications ranging from search to AI assistants. If you’re considering building your own application in this space, you will likely run into vector embeddings at some point. In this post, we’ll try to get a basic intuition for what vector embeddings are and how they can be used.

Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.