Reduced downtime for database migration to in-memory database

A method comprising:

• receiving a request to store a piece of text in a main database;
• encrypting the piece of text into a corresponding ciphertext;
• storing the corresponding ciphertext in the main database;
• passing the piece of text into an embedding machine learning model to create a corresponding embedding, the corresponding embedding being a vector of coordinates in a latent n-dimensional space;
• generating a linkage between the corresponding embedding and the corresponding ciphertext;
• and
• storing the corresponding embedding and the linkage in a vector database that is separate from the main database.

A non-transitory machine-readable medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving a request to store a piece of text in a main database;
• encrypting the piece of text into a corresponding ciphertext;
• storing the corresponding ciphertext in the main database;
• passing the piece of text into an embedding machine learning model to create a corresponding embedding, the corresponding embedding being a vector of coordinates in a latent n-dimensional space;
• generating a linkage between the corresponding embedding and the corresponding ciphertext;
• and
• storing the corresponding embedding and the linkage in a vector database that is separate from the main database.