Understanding Vector DBs

Hi - I am a newbie with pinecone and vector databases so apologies if this is a dumb question. My mind can’t believe what I just did with Hello-Pinecone exercise.
I could save a fortune if true. I acquired a company that performed dnn on fixed income data sets. The organization and cost of historical data is nightmare fuel. I have multiple tables for price history that are use ISIN (Identifier) for lookup. If I am interperting vector databases correctly then I would only need 1 dataframe with all of the ISINs and my vectors would be historical prices. Is this the right logic?
I am currently storing historical prices for bonds

Hi thecatfix,
Welcome aboard the Pinecone train! Reading and interpreting your question, I’m thinking perhaps this example might be in your neighborhood. Time Series Search

Take a peek and let me know what you think.


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i had no idea kaggle had test data sets for finance. i thought it was a site that corporations used to milk code out of student devs.

Thank you!!!

I think this is it