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Not exactly. It uses a vector database, Pinecone in this case, to store relationship and dating data that has been scraped from the web. When you submit a question, it uses semantic search on that query to pull those most relevant piece of data, which it includes in the prompt to answer the question. Does that make sense?

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Sort of; if I'm understanding correctly, it also has a separate data store with context that gets used to build a prompt for GPT thus making the answer perhaps more precise based on already existing data on the internet that gets scraped and presumingly manually curated.

One thing to note is that it doesn't seem to keep a session / cookie for logged in and have lost my authenticated state. I guess I'd need to resend the e-mail.

Yes, that's how it generates more precise answers.

Thanks for the feedback on the authentication. First time using Supabase. I definitely need to fix that.

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