This session provides an in-depth examination of Retrieval-Augmented Generation (RAG), covering its foundational concepts, recent advances including agentic RAG, and an exploration of the tooling options available on the watsonx.ai platform. We’ll highlight the key differences between traditional RAG—characterized by static, single-step retrieval—and agentic RAG, which enables dynamic, iterative reasoning and task execution through autonomous agents. Additionally, we’ll demonstrate how watsonx.ai tools enhance developer productivity by streamlining workflows, simplifying model integration, and accelerating the build-test-deploy cycle for AI applications.

Session Topic: AI Governance & Machine Learning
Industry: Cross Industry
Speaker(s): Joseph Kozhaya