Secure cross-platform orchestration and knowledge management of machine-learning models

A system for generating a response to a natural-language query from an entity associated with an organization, comprising:

• one or more processors;
• a memory;
• and
• one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
• obtaining a sub-query from the natural-language query;
• inputting the sub-query into a database-based enhancement machine-learning model to enhance the sub-query, wherein the database-based enhancement machine-learning model is trained based on historical query training data stored in a database associated with the organization, the historical query training data including a historical sub-query, a historical sub-response to the historical sub-query, and a quality metric associated with the historical sub-response;
• inputting the enhanced sub-query into a language model to generate the sub-query response;
• and
• generating the response to the natural-language query based on the sub-query response.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of one or more electronic devices, cause the one or more electronic devices to:

• obtain a sub-query from the natural-language query;
• input the sub-query into a database-based enhancement machine-learning model to enhance the sub-query, wherein the database-based enhancement machine-learning model is trained based on historical query training data stored in a database associated with the organization, the historical query training data including a historical sub-query, a historical sub-response to the historical sub-query, and a quality metric associated with the historical sub-response;
• input the enhanced sub-query into a language model to generate the sub-query response;
• and
• generate the response to the natural-language query based on the sub-query response.