This talk will explore the successful implementation of Retrieval Augmented Generation (RAG) architectures for Large Language Models (LLMs) and Generative AI (GenAI). It will showcase how companies can directly generate business value through GenAI. The focus will be on best practices and learnings and furthermore in chunking and embedding techniques, which are crucial for improving the quality and output of RAG architectures. Additionally, it will address LLM/Ops management and discuss future developments in the field of GenAI. Attendees will gain valuable insights and practical recommendations for successfully leveraging GenAI technologies.