Uploaded September 2026 | Updated September 2026, 2 weeks ago
Try building and deploying your own Streamlit RAG agent on Cloud Run today → https://g.dev/cloud/cloud-run-console
Access the official codelab documentation to get started → https://g.dev/cloud/rag-agent-adk
This session covers building a Streamlit Retrieval Augmented Generation (RAG) agent using the Google Agent Development Kit (ADK) and deploying it to Cloud Run based on the official Google Codelab tutorial.
Explore the implementation details of integrating Streamlit interfaces with Google ADK to deploy scalable RAG applications on Google Cloud.
What you'll learn:
* Initialize and configure the Google Agent Development Kit (ADK)
* Develop a Streamlit frontend interface for RAG interaction
* Deploy containerized Streamlit RAG applications to Cloud Run
Speakers: Aron Eidelman, Balaji Subramaniam
Products Mentioned: Google Agent Development Kit, Retrieval Augmented Generation, Cloud Run, Streamlit
Try building and deploying your own Streamlit RAG agent on Cloud Run today → https://g.dev/cloud/cloud-run-console
Access the official codelab documentation to get started → https://g.dev/cloud/rag-agent-adk
This session covers building a Streamlit Retrieval Augmented Generation (RAG) agent using the Google Agent Development Kit (ADK) and deploying it to Cloud Run based on the official Google Codelab tutorial.
Explore the implementation details of integrating Streamlit interfaces with Google ADK to deploy scalable RAG applications on Google Cloud.
What you'll learn:
* Initialize and configure the Google Agent Development Kit (ADK)
* Develop a Streamlit frontend interface for RAG interaction
* Deploy containerized Streamlit RAG applications to Cloud Run
Speakers: Aron Eidelman, Balaji Subramaniam
Products Mentioned: Google Agent Development Kit, Retrieval Augmented Generation, Cloud Run, Streamlit









![Dynamic Firebase skills: Architecting agent ready codebases
Firebase agent skills → https://goo.gle/4u3McWt
[GitHub] Agent skills → https://goo.gle/42JsuEa
[Codelab] How to use AI Agent Skills → https://goo.gle/4umgrbO
Watch along and hear Rody Davis break down how to architect existing, real world codebases for agentic development. Discover how to implement client side Firebase skills using Firestore to create sandbox contexts, maximize LLM efficiency with agent optimized context.md directory readmes, and manage complex monorepos through interconnected AI agent structures. Whether you are using Antigravity for backend workflows or tools like Stitch and Google AI Studio to accelerate your MVP design phase, discover how optimizing code health and architectural patterns can massively supercharge your AI assisted engineering velocity.
Chapters:
0:00 - Intro
0:37 - Shipping skills with Firebase
2:25 - Preparing codebases for agentic AI
3:51 - Tips and tricks for using Antigravity
5:33 - How to get started with agentic AI and vibecoding
7:13 - Wrap up
Watch more Google Cloud Next 2026 → https://goo.gle/next-talks-2026
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#GoogleCloudNext
Speakers: Aja Hammerly, Rody Davis
Products Mentioned: Gemini, Google AI Studio, Antigravity, Stitch, Firebase Dynamic Firebase skills: Architecting agent ready codebases](https://i.ytimg.com/vi/urBML_2BbD8/mqdefault.jpg)
