May 10
Loading video player...
In this video, I’m diving deep into the Google Agent Development Kit (ADK) to build a fully functional AI Research Assistant! We’re taking the power of Gemini 2.0 Flash on Vertex AI and supercharging it with external tools like LangChain and the Wikipedia API. This agent doesn't just guess—it researches, summarises, and provides concise answers to complex queries in real-time. * What you’ll learn in this demo: 1) What is Google ADK and why it’s a game-changer for agent orchestration. 2) How to integrate 3rd-party tools (LangChain + Wikipedia) into your AI workflows. 3) Solving the "Python 3.14" compatibility struggle and setting up a stable environment. 4) Configuring Google Cloud & Vertex AI for seamless model deployment. 5) Running a local development UI using adk web for tracing and debugging. * The Tech Stack: LLM: Gemini 2.0 Flash Framework: Google ADK (Agent Development Kit) Orchestration: LangChain Infrastructure: Vertex AI & Google Cloud Platform Runtime: Python 3.11 (Stability is key!) If you're interested in building modern AI agents that can actually do things beyond just chatting, this video is for you! Don't forget to Like, Subscribe, and hit the Bell icon for more AI engineering deep dives! 🔔 #GoogleADK #Gemini2 #VertexAI #AI #LangChain #Python #ArtificialIntelligence #CloudComputing #GoogleCloud #AIAgents #MachineLearning