Building AI Applications with AlloyDB AI Chicago
Building high-performance, context-aware AI apps.
How do you combine the reasoning power of Large Language Models (LLMs) with the accuracy of your own enterprise data?
Building high-performance, context-aware AI apps.
How do you combine the reasoning power of Large Language Models (LLMs) with the accuracy of your own enterprise data?
today
Jun. 16, 2026
9 AM-6:30 PM CT
location_on
320 North Morgan Street Suite 600, Chicago, IL 60607
Join us for a hands-on workshop dedicated to the architecture of modern AI applications. We will dissect the RAG (Retrieval Augmented Generation) stack, showing you how to build systems that are both accurate and fast. Key takeaways include:
- Grounding your AI: Techniques to reduce hallucinations by anchoring LLMs in your proprietary data.
- Performance at scale: How to utilize high-speed analytical queries to minimize latency.
- Actionable insights: moving from passive data retrieval to active, agentic workflows.
Speakers
Darshana Sivakumar
Product Manager
Google Cloud
Kumar Ramamurthy
Customer Engineer
Google Cloud
Mitchell Gurspan
Customer Engineer
Google Cloud
Farzan Ratistari
Data Cloud Sales Specialist
Google Cloud
Agenda
9:00 - 9:30 AM | Guest registration and light breakfast |
|---|---|
9:30 - 9:35 AM | Introductions |
9:35 - 10:00 AM | Agentic Data Cloud |
10:00 - 10:30 AM | Overview of AlloyDB |
|---|---|
10:30 AM - 11:00 AM | AlloyDB AI + Natural Language + Hybridsearch |
11:00 AM- 12:30 PM | Lab 1 - Configuring Vector Search in AlloyDB |
12:30 - 1:30 PM | Networking Lunch |
1:30 - 3:00 PM | Lab 2 - Building LLM and RAG based chat applications with AlloyDB and Gemini Enterprise Agent Platform |
3:00 - 3:15 PM | Break |
3:15 - 3:45 PM | AlloyDB Columnar Engine |
3:45 - 4:45 PM | Demos |
4:45 - 5:15 PM | AlloyDB + AI Roadmap |
5:15 PM - 6:30 PM | Networking happy hour |
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