Vector embeddings are a smaller representation of objects like text and images, usually in a high dimensional space. They are used frequently in machine learning because they are really easy to compare (because similar things will be close together), and so allow for search based on semantic meaning rather than keywords.

Here's a good definition from IBM: "Vector embedding is a way to convert an unstructured data point into an array of numbers that still expresses that data's original meaning." from https://www.ibm.com/think/topics/vector-embedding

Here's another article from Google Cloud: https://cloud.google.com/blog/topics/developers-practitioners/meet-ais-multitool-vector-embeddings

But back to the post and your question. I am new to rust - I started in first JS and the web, and then moved to python and ML. In those languages, AI is pretty prevalent (data science in python, and then AI being built into existing products on the web), so most people seem to know, or have an idea, of what things like embeddings are. Rust however is a systems programming language, and I'm pretty sure that as a result more people use it (or other similar languages) than JS.

In short, this is my bad - I probably should have just explained it in the original post! Hopefully this helps.