arjunprabhulal/adk-advanced
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.
This project helps AI solution architects and ML engineers build and deploy intelligent AI agents on Google Cloud. It provides a collection of pre-built examples and templates for various agent capabilities, deployment strategies (like Cloud Run or GKE), and production-ready use cases such as RAG (Retrieval Augmented Generation) agents. The output is a functional, deployable AI agent that can be integrated into enterprise applications.
Use this if you are a developer looking for concrete examples and production-ready templates to build and deploy Google ADK-based AI agents on Google Cloud platforms.
Not ideal if you are an end-user looking for a pre-built, no-code AI agent solution rather than a development framework.
Stars
26
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/arjunprabhulal/adk-advanced"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
xerrors/Yuxi
结合知识库管理的 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and...
pipeshub-ai/pipeshub-ai
PipesHub is a fully extensible and explainable workplace AI platform for enterprise search and...
xerrors/Yuxi-Know
结合LightRAG 知识库的知识图谱智能体平台。 An agent platform that integrates a LightRAG knowledge base and...
daxa-ai/pebblo
Pebblo enables developers to safely load data and promote their Gen AI app to deployment
gca-americas/way-back-home
🚀 Way Back Home