Abstract: Large language model architecture for delivering digital content is provided. A system can receive a query indicating a request for document objects, and criteria for selection of the document objects. The system obtains first data objects each having a first structure in a first format identifying portions of the one or more document objects. The first data objects can be searchable according to the one or more criteria via the first structure. The system provides input to a large language model (LLM) including the query, the first data objects, and second data objects. The second data objects can have a second structure in a second format that is compatible with the LLM. The system generates a reply to the query identifying a set of the one or more document objects that satisfies the one or more criteria for selection.

Abstract: A system for matchmaking using a conversational agnostic matchmaking model is described. The system can receive a first query indicating a request for document objects and including criteria for selection of the document objects. The system can identify named entities from portions of the first query. The system can generate a second query to obtain the document objects, in response to the named entities being indicative of a context for the first query. The system can obtain the document objects according to the second query. The system can generate a reply to the first query including a description object and the documents, the description object based on the first query. The system can cause a user interface to present the reply to the first query and the description object.