You are 100% correct, this is a toy example that I decided to put together for fun after talking to a bunch of people who mentioned it as a problem that they experience.
The main idea I wanted to add to the discussion (which is not that crazy of an addition) is that you can possible use sentence embedding instead of fuzzy matching on the actual letters to get more "domain expertise"
How to actually compare these embeddings with all the other embeddings you have in a large dataset is a problem that is completely out of the scope of this tutorial
The main idea I wanted to add to the discussion (which is not that crazy of an addition) is that you can possible use sentence embedding instead of fuzzy matching on the actual letters to get more "domain expertise"
How to actually compare these embeddings with all the other embeddings you have in a large dataset is a problem that is completely out of the scope of this tutorial