A collection of Python agent samples built with the Google Agent Development Kit (ADK), demonstrating integrations with services like BigQuery and Vertex AI Search.
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Updated
May 8, 2026 - Jupyter Notebook
A collection of Python agent samples built with the Google Agent Development Kit (ADK), demonstrating integrations with services like BigQuery and Vertex AI Search.
A personal playbook for fellow GCP practitioners, born from real-world experience. This curated collection includes practical code samples, architectural patterns, presentation decks, and video tutorials covering Generative AI with Vertex AI, AI Agents, Vertex AI Search, Data Analytics, and Data Engineering.
A lightweight Model Context Protocol (MCP) server that exposes Google Cloud's Vertex AI Search for Commerce as a tool for AI agents. This allows agents to easily search a product catalog using natural language queries. Built with Python and FastMCP.
MCP server + agent that answers infra/ops questions only from official upstream docs, with exact source citations. Built on Gemini and Vertex AI Search.
🚀 Curate hands-on GCP resources, including code samples and tutorials, to empower practitioners in leveraging Generative AI and data engineering solutions.
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