Did you know MongoDB offers a vector database search to enhance how your LLM agents can interact with your database?

I've been a fan of NoSQL databases for quite some time now. And I was absolutely thrilled to hear that MongoDB offered a vector database feature. It is awesome to see that it's keeping up with new technologies.

Now, if you don't know why you need a vector DB, you probably don't need it yet. But if you're starting to build out AI-powered LLM agents, then you're going to want to dive deeper into vector databases.

Long story short, Vector databases are a new way of indexing data using a 2D plane and various ways of grouping data logically. So information about fruits (bananas and apples) would be grouped in one area, while information about cars (tires, wheels, engines) would be grouped closely as well.

That's a gross oversimplification, but if you want to hear more about it, you should check out my tech talk coming up on Model Context Protocol and LLM Agents.