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Wednesday April 1, 2026 2:00pm - 3:00pm GMT+08
This developer-focused session walks through Db2’s latest AI capabilities designed to simplify LLM application development. Through demonstrations and clear explanations, attendees will see how native vector storage and similarity search enable efficient embedding management without requiring separate vector databases.The session covers built-in integration packages for LangChain and LlamaIndex, along with SQL-callable functions that allow developers to invoke LLMs directly from the database, eliminating complex API orchestration. You’ll see how to build production-ready RAG and agentic applications entirely within Db2.Whether you’re a developer, data engineer, or architect exploring these capabilities, this session provides an accessible overview with practical examples. No prior experience required.
Speakers
avatar for Dale McInnis

Dale McInnis

STSM Db2 Development, IBM
Dale McInnis is a Principal Data & AI Technical Specialist from the IBM Toronto Canada Lab. He has a B.Sc.(CS) from the University of New Brunswick and a Masters of Engineering(M.Eng) from the University of Toronto and is currently pursuing his PhD in computer science. Dale joined... Read More →
Wednesday April 1, 2026 2:00pm - 3:00pm GMT+08
Room 101

Attendees (2)


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