Amazon patents system that cites sources for AI answers

1. A system operating on a provider network, wherein the system comprises: one or more computer processors; at least one data store having a knowledge base comprising a plurality of documents stored thereon; a language model executed by the one or more computer processors, wherein the language model is trained based at least in part on a corpus of data, and wherein the corpus of data does not include any of the plurality of documents; and a service executed by the one or more computer processors, wherein the service is configured to perform operations comprising: receiving at least a free-form description of a question from a user; converting the free-form description of the question to a first query; determining a comparison of an embedding generated based at least in part on the first query to each of a plurality of embeddings, wherein each of the plurality of embeddings is generated based on one of a plurality of text chunks extracted from at least one document in a selected domain and augmented with temporal metadata, and wherein the embedding and each of the plurality of embeddings is in a common vector space; selecting at least a subset of the plurality of text chunks based at least in part on a similarity analysis; generating, using a large language model, a first response to the question based at least in part on the subset of the plurality of text chunks, wherein the first response comprises a first set of data points identified based at least in part on the temporal metadata; identifying one of the plurality of documents including at least one of the first set of data points identified based at least in part on the temporal metadata; and providing the first response to the question and the one of the plurality of documents to the user.