Building AI Agents with Google Cloud: Powering Innovation with Langgraph and Vert.x AI

In this thrilling episode of Google Cloud Tech, we delve into the exhilarating world of building AI agents with the powerhouse that is Google Cloud. These AI agents are no ordinary applications; they possess the ability to reason, plan, and execute tasks with the finesse of a seasoned race car driver. Utilizing language models, memory, and context sources, these agents interact with users synchronously or asynchronously, providing a dynamic user experience that puts them in the driver's seat. But hold on to your seats because the excitement doesn't stop there.

Enter Cloud Run, the high-octane runtime that propels AI agents to new heights on Google's scalable infrastructure. With automatic scaling, cost-effective pricing, and enterprise-grade security, Cloud Run is the ultimate pit stop for developers looking to unleash the full potential of their AI creations. But the adrenaline rush doesn't end with Cloud Run; we shift gears to explore Langgraph, a cutting-edge framework that combines the reliability of structured workflows with the flexibility of agents. This is where the rubber meets the road, allowing developers to navigate the twists and turns of AI development with precision and agility.

But wait, there's more. Buckle up as we accelerate into the world of Vert.x AI, where intelligence meets innovation to power the next generation of AI agents. With access to Google's Gemini models, open-source models, and seamless integration with enterprise data sources, Vert.x AI is the turbo boost that agents need to reach peak performance. The Vert.x AI agent builder is the command center, offering developers a suite of tools to build, deploy, and discover agents with ease. From the agent development kit to the agent engine, Vert.x AI is the ultimate race track for AI innovation, where speed, reliability, and flexibility converge in a thrilling display of technological prowess. So rev up your engines and join us on this adrenaline-fueled journey through the fast-paced world of building AI agents with Google Cloud.

building-ai-agents-with-google-cloud-powering-innovation-with-langgraph-and-vert-x-ai

Image copyright Youtube

Watch Building AI agents on Google Cloud on Youtube

Viewer Reactions for Building AI agents on Google Cloud

Excitement about learning more about Vertex AI and its capabilities

Suggestions for improving audio quality in the video

Confusion between using Vertex AI Python library or Google ADK library

Limitations of deploying to "Agent Engine" with remote ArtifactService

Request for sharing assistance code with multi-agent

Interest in working on the project

Question about the difference between Cloud Run and Vertex (runtime vs. design tool)

Note about incorrect links in the resources

Difficulty in building an agent as mentioned in the video

Concern about the cost of learning AI for engineers from non-AI backgrounds

Suggestion to separate topics of LangGraph/CloudRun and Vertex AI Agents for better understanding

Google Cloud Tech

Accelerator Obtainability Options for AML Workloads on GKE

Google Cloud Tech explores accelerator obtainability options for AML workloads on GKE, discussing challenges, on-demand vs. spot choices, reservations, future reservations, DWS flexart, and Q integration. Learn how to optimize performance and cost for your AI infrastructure.

Google Cloud Tech

Revolutionize Application Management with Gemini Cloud Assist

Explore the revolutionary Gemini Cloud Assist by Google Cloud, leveraging AI to streamline application design, operations, and optimization. Enhance efficiency and performance with cutting-edge tools and best practices for seamless cloud computing.

Google Cloud Tech