Vector DBs are gonna be the next hot technology backend engineers will need to be comfortable using with the AI revolution underway. What is a Vector DB? A DB optimized for vector storage and retrieval. It's similar to how a Graph DB is optimized for search network graphs (ex. FB, LinkedIn, etc all use various forms).

Vectors are how ML / AI model 'encode' information. When you use ChatGPT, it's doing a vector search to find and predict the next word it needs to print.

This is a very watered down explanation but the point of this post is to encourage everyone to learn a bit more about them. Here's a good resource for starting: https://www.pinecone.io/learn/vector-database/