Developing effective retrieval-augmented generation (RAG) applications is essential for enterprises aiming to enhance AI accuracy and efficiency. This webinar focuses on the practicalities of building robust and scalable RAG systems. We'll explore the crucial components, including database and AI, data lakes, security and compliance, observability and monitoring, distributed HA microservices, and message queue, all necessary for a comprehensive RAG pipeline. The session will detail the RAG application workflow, from raw content ingestion and document preprocessing to generating vector embeddings and utilizing large language models (LLMs) for grounded answer generation.  

About the Speaker

William McKnight 
President, McKnight Consulting Group 

William McKnight has advised many of the world’s best-known organizations. His strategies form the information management plan for leading companies in numerous industries. He is a prolific author and a popular keynote speaker and trainer. He has performed dozens of benchmarks on leading database, data lake, streaming, and data integration products. William is the #1 global influencer in data warehousing and master data management, and he leads McKnight Consulting Group, which has twice placed on the Inc. 5000 list.