The session focused on the advancements in NLP with Retrieval-Augmented Generation (RAG) models, highlighting their ability to combine information retrieval and generative language models for context-rich answers. It stressed the importance of incorporating image understanding and hierarchical document structure analysis to manage the visual data that accompanies textual information. The session provided an implementation guide using Azure Document Intelligence to convert images to markdown and recognize document structure, focusing on visual feature extraction, visual semantics, multimodal data fusion, structure recognition, semantic role labeling, and structure-aware retrieval. It also detailed the setup of Azure services and models, including GPT-4-Vision-Preview and Azure Document Intelligence, and offered a walkthrough for utilizing these tools.