Build gen AI features powered by your data with Firebase and PostgreSQL

Learn how Firebase Data Connect uses PostgreSQL to increase velocity at every stage of app development including powerful new gen AI capabilities with Genkit. Learn how tool calling and structured output can make programming with LLMs feel more like programming with any other API. Learn how to safely use your application's data to drive AI-powered experiences.

Speaker: Michael Bleigh

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#GoogleIO

Products Mentioned: Firebase Data Connect, Firebase Genkit, Firebase App Hosting, Remote Config
Event: Google I/O 2024

[mralek]

Amazing demo! Really impressed by the seamless integration between Data Connect & GenKit and the associated dev tools. This is hands-down the easiest way to integrate RAG into an app I've seen, well done! 👏

[rahulgupta]

Very Informative tutorial!
Genkit is truly the future of building AI driven apps. Would love to get much more tutorials in the future

[robinryf]

Very awesome introduction! This is doable for everybody who is interested and eager to learn. Thank you. I wonder what other use cases there could be besides search 🤔

[samario_torres]

is this easy to integrate with cloud firestore? is there a simple way to connect my firestore database to data connect and have both databases collecting data?

[kevingrondin]

@Michael Bleigh you can share your code on your github ?

[nickjunes]

Is the error you're getting because you already did a vector comparison search with your searchDestinations function? If not why do you need a retriever if you already did a vector comparison search in searchDestinations with plain text? It seems like the vector comparison search can already understand plain text. What am I missing?

[jerryf]

how do you generate the embeddings? You ran a script but does it use the vertex firebase SDK?

[darthvader]

what's that .prompt file?
is it special to idx?