A new notebook for Inserting embeddings from multiple models

[vishwajeetdabholkar]

Discover the power of SingleStoreDB's external functions to dynamically fetch and store vector embeddings from leading AI models into your database. This demo highlights leveraging SingleStore's robust vector data type and external functions for efficient management and analysis of machine learning embeddings.

@kesmit13 could please check and let me know if any new additions to be done, thanks

[kesmit13]

I don't see where the external function process is created in the notebook. There is an IP address in the external function, but that will differ depending on where that process is run, correct?

[vishwajeetdabholkar]

Hey @kesmit13 thanks for pointing that out. I have removed the IP. The users will need to run the code attached in the repo to start the external function and they can provide their IP and use it.