videointermediate
95 | Build AI Agent with Web Search & Grounding using Google ADK | Gemini + Google Search
By Implovateyoutube
View original on youtubeThis video demonstrates how to build an AI agent with web search and grounding capabilities using Google's AI Development Kit (ADK) and Gemini. The tutorial covers integrating Google Search functionality into an AI agent to enable real-time information retrieval and fact-grounding. Viewers will learn to leverage Gemini's capabilities combined with Google Search APIs to create agents that can access current web data and provide grounded, up-to-date responses.
Key Points
- •Use Google ADK (AI Development Kit) as the foundation for building production-ready AI agents
- •Integrate Google Search API to enable agents to retrieve real-time web information
- •Implement grounding mechanisms to ensure agent responses are based on verified web sources
- •Configure Gemini model with search tools to enhance agent reasoning and accuracy
- •Set up proper authentication and API credentials for Google Cloud services
- •Test agent responses with web search to validate information accuracy
- •Implement error handling for search queries and API failures
- •Use search results to ground agent outputs and cite sources appropriately
Found this useful? Add it to a playbook for a step-by-step implementation guide.
Workflow Diagram
Start Process
Step A
Step B
Step C
Complete