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Would a model like this translate well to a document or graph database?

I’m trying to understand what types of models that I have traditionally persisted relationally would translate well to some kind of NoSQL database. Suppose I have a model with the following relationships:

Would a model like this translate well to a document or graph database?

Which database is suitable to store LLM generated data?

I am developing a project where I give a transcript of a video to an LLM (I’m simply calling OpenAI’s APIs). The LLM generates a wide range of data such as summaries, named entities (NER), etc. I want to store all the data in a database. I’m considering using a relational database and perhaps I’ll need to pre-process the LLM-generated response to store in the tables (OR should I store the data as a JSON format?). Another option is a NoSQL database (eg. MongoDB) where I can dump the response as a document in collections. Can someone please guide me? What is the best practice for the production environment?

Is eventual consistency a wrong solution for e-commerce applications?

I’m reading about eventual consistency in couchDB. I’m somewhat confused by the term and its consequences on an application.

Schemaless NoSQL RESTful design?