Retrieval augmented generation systems and methods

Abstract

The disclosed Retrieval Augmented Generation systems and methods include a system with several components. First, a user interface generates a query for a large language model (LLM). The system features prompt generator circuitry that accesses a database containing documents, each with priorities linked to various factors. This circuitry retrieves context and factor priorities from these documents in response to the query. The system also includes an LLM interface that submits a query to the LLM, incorporating the original query, retrieved context, and factor priorities. The system then receives a response from the LLM, which includes data related to the documents and factor priorities. Finally, an output interface presents the user with response data from the LLM, detailing information about the documents and the retrieved factor priorities.