Recorded on
with Aishwarya Srinivasan, Arvind Narayanamurthy
Most useful agents depend on proprietary context, not just model intelligence. Builders need patterns for connecting data, tools, and workflows while preserving observability and quality, so agents answer with the right context and can be improved after deployment.
Use indexing, retrieval, tools, and workflows to ground agent behavior.
Design retrieval flows that give agents the right information at the right time.
Build observability and iteration loops around retrieval and workflow failures.
Most useful agents depend on proprietary context, not just model intelligence. Builders need patterns for connecting data, tools, and workflows while preserving observability and quality, so agents answer with the right context and can be improved after deployment.
Head of Open Source @ LlamaIndex · LlamaIndex
Logan Markewich is Head of Open Source at LlamaIndex and a founding software developer on the project. He builds libraries and tools that help developers connect LLMs to data, workflows, and document intelligence systems.
Hosted by Aishwarya Srinivasan and Arvind Narayanamurthy.
AI Advisor / AI Educator
Aishwarya Srinivasan is the Co-Founder of The Gen Academy and a Developer Relations Lead at Nebius. Her experience spans Fireworks AI, Microsoft for Startups, Google Cloud and IBM, where she worked with developers and businesses on practical AI and machine-learning solutions. She holds a postgraduate degree in Data Science from Columbia University and teaches AI engineering, applied machine learning, generative AI and LLMOps.
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade machine-learning solutions. He has built and deployed enterprise AI systems and focuses on translating AI concepts into practical, production-ready solutions. He holds a Master's from Carnegie Mellon University.
