Genkit is an AI integration framework designed for app developers. It allows you to easily integrate powerful AI capabilities into your apps with familiar patterns and paradigms. Join @PeterFriese to learn what Genkit is, get to know the key concepts, and see how to build an AI-powered app along the way.
Chapters:
0:00 - Cold open
1:05 - Installation and getting around the DevUI
3:00 - Introduction to Genkit Flows
5:36 - Using open source models via Ollama
6:23 - Implementing your first Genkit Flow
10:55 - Calling Genkit flows from a Firestore trigger
11:30 - Inspecting traces
13:37 - Implement RAG-based Q&A
16:37 - Compute vector embeddings and store them in devLocalIndexer
18:22 - Retrieve matching documents using devLocalVectorstore
20:04 - Demo
21:09 - Storing Vector Embeddings in Firestore
24:19 - Prompt management with dotprompt
28:18 - Deployment
29:45 - Next steps
Resources:
Docs → https://goo.gle/46qgI2m
GitHub repo → https://goo.gle/3A1j8IF
Discussions forum → https://goo.gle/4c8N9DL
Discord → https://goo.gle/4caInpc
Watch more Firebase Fundamentals → https://goo.gle/Firebase-Fundamentals
Subscribe to Firebase → https://goo.gle/Firebase
#FirebaseFundamentals #Firebase #Genkit
Speaker: Peter Friese
Products Mentioned: Firebase, Firebase Genkit