Developer Keynote recap – Kaslin Fields
summary
Demo shows a chat frontend paired with a microservices backend running on GKE Autopilot, using an image upload of a real dining room to surface catalog matches from the demo storefront. Backend wires a large model to a product database via Retrieval Augmented Generation (RAG) so responses are fact-checked against inventory; demo code is on the Google Cloud microservices GitHub and a RAG Jumpstart Solution and Architecture Center guide are provided. Preparation includes weekly rehearsals for over a month.
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chapters (6)
- 0:00Meet Kaslin Fields
- 0:57Improving AI apps with GKE
- 2:39Gen AI chat app frontend explained
- 4:14Gen AI chat app backend explained
- 6:12Behind the scenes of the developer keynote
- 8:40Wrap up
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