Exploring the frontiers of AI, web development, and secure software architecture. Join me as I break things to see how they work.
Learn how to extract and stream model thought processes using Genkit and server-sent events, and render them in a custom React component to create a highly responsive user experience.
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Gemini and Firebase AI logic recently added Google Maps grounding. Instead of relying on expensive RAG (Retrieval-Augmented Generation) server pipelines, you can now connect Gemini directly to real-time, real-world Google Maps data. Join Nohe as he shares how to add Google Maps Grounding to Gemini queries to get better results.
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Learn how to create Genkit flows that power your app's backend and frontend, and discover the essential security steps needed to protect your AI endpoints. Nohe covers everything from initial setup to implementing rate limits and caching to keep your project secure and cost-effective.
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The wait is over! Nohe walks you through how to implement full text search in Firestore Enterprise. Previously, if you wanted to search your Firestore data with keywords, you had to export your data to a third-party provider or deal with the overhead of generating embeddings for Vector Search. Now, everything is integrated directly into the Firestore ecosystem.
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