Vectorization #22
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Vectorization #22
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database vectors for items
takes a search query and vectorizes it, then compares with database items to find best matches.
Working to fix updating the database after changes were made to data
Since more items were added to the database, how we update the embeddings in the database needs to be broken up so the arrays do not overflow.
Words chosen from are first filtered to save time
Items from the different stores are paired together based on the similarity in their vectors.
The data was too large to send, so I consolidated the code.
Redoing how embeddings are generated to try and improve accuracy.
add the store distance and remove the vector embedding from the items added.
Nikulp23
approved these changes
Dec 2, 2024
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