[geuis]

I'm a full stack eng that recently transitioned to a full time backend role.

I'd suggestion learning about pgvector and text embedding models. It seems overwhelming at first but in reality the basic concepts are pretty easy to grok.

pgvector is a Postgres extension, so you get to work with a good traditional database plus vector database capabilities.

Text embeddings are easy to work with. Lots of models if you want to do it locally or adhoc, or just use OpenAI or GCP's api if you don't want to worry about it.

This combo is also compatible with multiple vendors, so it's a good onboarding experience to scale in to.