Abstract: Retrieval-augmented generation (RAG) is used in natural language processing (NLP) to provide query-relevant information in enterprise documents to large language models (LLMs). Such ...

Abstract: The vast growth of online and offline data has revolutionized how we gather, evaluate, and understand information. Comprehending lengthy text documents and extracting crucial details from ...