Hello, thank you for the clear documentation. I was worndering if there is a way to disply the calculated cosine similarity for the retrieved docs stored in the database?
Hi @Sosycs
As an example I've used snippets from our Document Search sample (screenshot below):
Simply change the metric to: "metric" : "CS".
To see the distance print the results of the similarity search (the distance will be in a column in the result called "__nn_distance":
print(table.search(query_vector, n=3))
Also take a look at our documentation on cosine similarity for extra help - KDB.AI Similarity Metrics - Documentation (kx.com)
Hope this helps!
Thanks,
Megan