More from this series:
- The Data Product Revolution: Unlocking Business Value
- Fuel Enterprise Agents with Trusted Context: The Roadmap to Enterprise AI at Scale
- What Does Information Management Maturity Look Like in 2026?
- Data Architecture 2027: What Enterprises Are Building Today and Why
- The ROI of Agentic AI: Strategies for Success
- How to Work with Open Table Formats
About the Webinar
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.
Our Partners
About the Speakers
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.
Data Architecture Intensive
Learn how to design modern data architectures that unify operational, analytical, and AI data – April 29-30, 2026.
