Brendan Tierney continues a series on vector databases:
In this post on Vector Databases, I’ll look at the main components:
- Vector Embedding Models. What they do and what they create.
- Vectors. What they represent, and why they have different sizes.
- Vector Search. An overview of what a Vector Search will do. A more detailed version of this is in a separate post.
- Vector Search Process. It’s a multi-step process and some care is needed.
Read on for more about these terms and ideas.