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This session addresses accuracy limitations of traditional vector-indexing RAG for large, dynamic private data. It will explore how to build quality RAG applications for end users with easy-to-use RAG templates that can be deployed easily via docker, with the index of your choice. You’ll learn to optimize RAG for the best balance of cost, accuracy, and latency. We’ll showcase a quick, secure RAG service setup (CPU+GPU or CPU) with pre-built YAML templates and automatic data updates, improving document understanding and performance. You will see how it works in practice, with real-world querying of sales and marketing documents and slide decks. Speaker: Szymon Dudycz, AI Developer Speaker Bio: From building the core of Pathway's AI engine to crafting high-performance Monte Carlo simulations at Credit Suisse, Szymon knows how to make complex systems work. He's the wizard behind Pathway's YAML templates. He holds a PhD on approximation algorithms. Timestamps: 00:00 Introduction and Speaker Introduction 00:59 Overview of Pathway and AI Pipelines 03:18 Pathway's Slide Search Service 07:29 Architecture and Technical Details 12:41 Live Demo: Slide Search in Action 25:06 Customizing Pipelines with YAML 33:57 Q&A Session 40:48 Closing Remarks and Next Session Preview