Retrieval-Augmented Generation with LangChain

You will learn to build semantic RAG systems that retrieve relevant information from unstructured documents using embeddings and vector databases — from preprocessing documents into searchable chunks to implementing real-time semantic search and response generation — enabling you to unlock insights from the majority of enterprise data that exists as documents and free-form text.