Solving the Relevancy Problem Using Your Data in Models | Context Window w Ed Anuff + Anant Jhingran

AI hallucinations. Stalled RAG pilots. Inaccurate answers. Let’s talk about the real reason behind those challenges: your data. In this episode of Context Window, DataStax CPO Ed Anuff and IBM CTO of Software Anant Jhingran unpack the relevancy problem—why enterprise AI apps struggle to produce useful results, and what you can do about it. From unstructured data and dynamic query generation to reasoning, reranking, and beyond, we’ll cover what it actually takes to move from pilot to production. Don’t miss this practical, no-hype session on making AI work right now. ____________________ Chapters 00:00:00 Introduction and Exciting Developments in AI 00:02:49 The Quantum Leap: Shifting Perspectives 00:05:52 Navigating the RAG Landscape 00:08:42 Understanding RAG: Memory and Data Retrieval 00:11:55 Challenges in Data Architecture and Retrieval 00:14:54 The Role of Context in RAG Systems 00:17:53 Art vs. Science in Prompt Engineering 00:20:57 The Future of RAG and Context Windows 00:24:01 Agents and RAG: A Symbiotic Relationship 00:26:43 The Evolution of AI: From Models to Agents 00:29:57 Addressing Non-Determinism and Hallucinations 00:33:08 Conclusion: The Importance of Data Architecture