G. A.

A Multimodal Retrieval-Augmented Generation Framework for Context-Aware Semantic Querying

Retrieval-Augmented Generation (RAG) has established itself as a compelling strategy for grounding large language model outputs in documentary evidence. However, production deployments continue to rely almost exclusively on homogeneous text corpora, even as enterprise repositories grow increasingly heterogeneous blendi...