Webinar
Practical RAG Strategies for Scalable Enterprise AI
About the Webinar:
In this exclusive webinar, Nishant Agrawal, VP of Engineering at Ksolves India, talks about how Retrieval-Augmented Generation (RAG) is transforming the way enterprises harness generative AI. But moving from proof-of-concept to production demands more than just powerful models. This session will uncover the critical strategies, architectural decisions, and operational frameworks you need to successfully scale RAG in real-world enterprise environments.
Discover hard-won lessons and proven approaches for navigating common challenges such as broken source data, over-engineered chunking, unscalable security frameworks, and rising operational costs. Learn how leading enterprise teams are defining KPIs beyond accuracy, optimizing retrieval pipelines, and implementing governance without slowing down innovation.
In this session, we’ll cover:
- How to define business-driven outcomes and KPIs before writing a single line of code
- Security frameworks that balance agility with enterprise-grade trust models
- Data preparation tactics that help prevent 80% of RAG failures before they even start
- Smart chunking and embedding strategies for enhanced performance and control
- Retrieval approaches tailored for short answers, long-form queries, and restricted content
- How to build a lean RAG Center of Excellence (CoE) to standardize, scale, and govern RAG operations enterprise-wide
Whether you’re just starting with RAG pilots or refining production deployments, this session delivers practical, scalable AI strategies you can implement today.
RAG done right is a competitive advantage. Learn how to move beyond the hype.
Struggling to Scale Generative AI in Your Enterprise?
See how we architected scalable, secure, and business-aligned Retrieval-Augmented Generation (RAG) systems, cutting costs, improving accuracy, and unlocking real enterprise value.
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