System for Providing Software Related Answer Based on a Trained Model

A computer-implemented method for providing natural language understanding of a development process, the method being executed by an electronic processor and comprising:

• receiving, from a user interface, a natural language query regarding a proprietary code base of an organization;
• processing the natural language query through a custom enhancement model to determine an intent of the natural language query;
• providing a query/response enhancement service to enhance the query by using at least one of a domain specific knowledge or a large language model, wherein the query/response enhancement service enhances the query by specifying response filers based on context, and wherein the enhanced query is further processed by a natural language processing search engine communicating with the custom enhancement model;
• processing the enhanced query through a trained model to determine a natural language response for the natural language query, the trained model trained with generic inputs and specific inputs;
• enhancing the query by adding metadata filters based on a context being asked or a custom corpora about the user's architecture learned during ingestion;
• and
• providing, through the user interface, access to the natural language response.