Abstract: Systems, computer program products, and methods are described herein for query interface response synthesis via machine learning and progressive query data decomposition. The present disclosure includes receiving a document, parsing retrievable text in the document to identify a query in the retrievable text, decomposing the query, using a generative AI model comprising a large language model, into a sub-query sequence, wherein the sub-query sequence comprises a plurality of sub-queries, the plurality of sub-queries within the sub-query sequence successively increasing in complexity, retrieving, using a retriever, data records corresponding with a user identifier, transmitting the data records to the generative AI model, generating, within a first persistent dialogue session of the generative AI model, successive responses according to the sub-query sequence, and collating the successive responses into collated response data.