Week 9 Update (Capstone)

 This week I've been looking into what I'll need to create a database connector for our LLM application. Essentially it will allow us to use data from our existing database of user movie lists. With that set up, we'll be able to feed our user data to an LLM to ask it for movie suggestions based on a particular user's lists. I've been reading through LlamaIndex's documentation on its DatabaseReader class and also looking through the structure of our project's existing database.

I have also started writing some code on the file for the connector and am currently testing to make sure it connects to our database as expected.

My plan for next week is to hopefully have the database connector finished. Once that's done, I'll add an argument to a playlist generation function so that it knows to generate a playlist using this connector (with our user's movie list data) instead of general movie data we're currently feeding it.

I'm not facing any major challenges currently. It's been a while since I've used docker and flask. Also LlamaIndex (and LLM applications in general) are completely new to me, but I feel I can handle that without assistance so far (will reach out if that changes).

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