Zarif: regarding dimensions that kdbai accepts comment: kdbai does not limit the dimensions of the vectors you can insert.

The following should be followed when inserting embeddings into a column with an index, (and you are not using compression):

• dimension of all the embeddings inserted into a column need to be the same
• dimension of the embeddings must match the dimension of the defined index

Feel free to review our kdbai resources here: https://kdb.ai/ (The slack channel is very active and I would be happy to answer any of your questions directly there)