System and method for expert-assisted generative ai prompt response adaptation

A system for expert-assisted generative AI prompt response adaptation within a computer-populated environment, the system comprising:

• a firstly partitioned source document retrieval system configured to retrieve and periodically update source documents in response to a user query;
• a generative model configured to provide an answer based on the retrieved and periodically updated source documents in response to the user query, the answer being stored in a first file format;
• a secondly partitioned feedback integration system configured to provide a subject matter expert feedback document in connection with at least one of the user query and the answer, the subject matter expert feedback document being stored in the first file format;
• and
• an embedding creation system configured to vectorize the answer and the subject matter expert feedback document and store embeddings therefrom within a vector database thereby providing a convergent knowledge base from which the answer can be returned to the user in response to the user query.

A method for expert-assisted generative AI prompt response adaptation within a computer-populated environment, the method comprising the steps of:

• retrieving source documentation via a data extraction process of a bot answer system;
• storing the source documentation in a first file format in a physical file storage;
• creating a feedback document in response to at least one of a user query and a query response within the bot answer system;
• storing the feedback document in the first file format in the physical file storage;
• vectorizing the source documentation and the feedback document via an embedding creation process;
• storing embeddings from the embedding creation process in a vector database thereby providing a vectorized knowledge base;
• and
• providing the query response to the user query via a generative model based on the vectorized knowledge base.