A RAG agent using Google's ADK & Vertex AI that lets set up semantic search across documents in under 2 minutes. Features GCS integration and natural language querying

A comprehensive collection of Google ADK implementations: Function Tools, MCP, Vertex AI Agent Engine, RAG Engine, and Agent Starter Pack templates for Cloud Run and GKE.

Academic research agent with RAG using Google ADK, Gemini 2.5 Pro, and Vertex AI RAG Engine. Deployable to Cloud Run.

Building an end-to-end intelligent study assistant using Google ADK, Vertex AI RAG Engine, and Gemini models

A sample serverless, self-updating RAG chatbot built with Vertex AI Agent Engine, Google ADK, and an event-driven automated ingestion pipeline.

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ADK Rag Engine with Vertex AI Vector Search

RAG-Powered Document Assistant using Vertex AI's RAG Engine & Agent Development Kit (ADK) with a local GUI.

An intelligent virtual receptionist for Camping La Rosaleda, built with Google ADK (Agent Development Kit) and Vertex AI RAG Engine.

RAG (Retrieval-Augmented Generation) agent using ADK (Agent Development Kit) and Vertex AI RAG Engine on GCP. Enabled natural-language queries over document corpora (create, list, add, delete) and grounded AI responses with document context.

Production AgentOps template on GCP: Google ADK + Gemini 2.5, Vertex AI Agent Engine, Terraform IaC (dev/staging/prod), CI/CD (Cloud Build), Model Armor, 5-stage eval pipeline, RAG, Memory Bank, canary deployments and nightly regression monitoring.