Overview:

Retrieval-Augmented Generation (RAG), in all its diverse forms, is quickly becoming the backbone of enterprise AI systems, enabling organizations to combine the reasoning power of large language models with the context of their own data. But moving from proof-of-concept to production takes more than just plugging in a vector database. It requires thoughtful planning around security, data governance, and performance evaluation.

In this webinar, we’ll explore what it takes to implement RAG at enterprise scale—covering the technical foundations, organizational alignment, and practical methods for evaluating and improving system quality over time. We’ll also discuss how enterprises are measuring success by focusing on end-user experience and business outcomes, ensuring that AI solutions don’t just work, but deliver real value.

Technical Details:

In this session, we’ll walk through:

• How to secure enterprise RAG deployments and manage sensitive data access
• Strategies for continuous evaluation (Evals) to maintain quality and reduce hallucinations
• How RAG systems are helping employees tackle complex, high-value business problems
• How RAG is being leveraged by Agentic Systems

This session includes a practical walkthrough and live Q&A. Can’t make it live? Register anyway and we’ll send you the recording.