AI Engineering Podcast
Articles about AI Engineering Podcast
How to Evaluate RAG Systems When Ground Truth Keeps Changing
Summary In this episode Ofer Mendelevitch shares what it really takes to evaluate RAG systems in production when your source data is incomplete, constantly changing, or difficult to validate against a clean ground truth. He explores how RAG has evolved from simple “chat with your PDF” demos into enterprise-grade retrieval systems that require robust ingestion pipelines, hybrid search, reranking, multimodal support, access controls, and refresh strategies for large and dynamic document collections.
Harness Engineering for Reliable, Governed AI Agents
Summary In this episode Nikunj Bajaj, co-founder and CEO of TrueFoundry, talks about the challenge of building reliable agents on top of inherently variable foundation models. He explores the idea of the agent harness as everything around the model engine: memory and context management, tool and MCP integration, sandboxed code execution, permissions, observability, and guardrails.