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.
When you build a traditional application, your data structures are represented as objects that probably come from a database. These objects have properties (or columns in a database) that are relevant to the application you’re building.
This is a companion discussion topic for the original entry at https://www.pinecone.io/learn/vector-embeddings-for-developers/