Transform RAG and Search with Azure AI Document Intelligence

Retrieval Augmented Generation (RAG) is a design pattern commonly used in Document Generative AI (e.g., chat with your document). Semantic chunking is a key step in RAG to get efficient storage and retrieval. The session will introduce the latest capabilities provided by Azure AI Document Intelligence to enable semantic chunking and demonstrate a RAG application with semantic chunking for improved accuracy. We will also show how to get started using Azure AI Document Intelligence to build your own RAG application. Lu Zhang is a Principal Product Manager working on Azure AI Document Intelligence (formerly known as Azure Form Recognizer). With the 10+ years of technical background in Big Data and AI, she’s passionate about building world-class data and AI product to help everyone live a better life.