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adk-rag-agent

Build RAG agents with Google ADK and Vertex AI RAG Engine.

Updated Aug 23, 2026
Search Tags:#rag#knowledge base#adk#generative ai#document q&a#vertex ai
One-click install
npx skills add https://github.com/cuba6112/skillfactory --skill adk-rag-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adk-rag-agent
Source: https://github.com/cuba6112/skillfactory/tree/main/.claude/skills/adk-rag-agent
Command: npx skills add https://github.com/cuba6112/skillfactory --skill adk-rag-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables the creation of AI agents capable of answering questions directly from a defined document corpus, ensuring accurate and context-aware responses.

Core Features & Use Cases

  • Retrieval-Augmented Generation (RAG): Integrates with Vertex AI RAG Engine for knowledge base Q&A.
  • Tool Integration: Utilizes the VertexAiRagRetrieval tool for fetching relevant document chunks.
  • Use Case: Deploy an agent that answers customer support queries by referencing your company's product documentation, providing cited sources for every answer.

Quick Start

Configure your environment variables and then use the adk-rag-agent skill to answer questions based on your Vertex AI RAG corpus.

Frequently Asked Questions about adk-rag-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a RAG agent with Vertex AI for document Q&A?▼

Build a RAG agent with Vertex AI by using this Skill to integrate the VertexAiRagRetrieval tool, enabling your agent to fetch cited document chunks from a pre-configured corpus for accurate responses.

How does the Vertex AI RAG Engine handle knowledge base search?▼

The Vertex AI RAG Engine handles knowledge base search by integrating the VertexAiRagRetrieval tool to fetch relevant document chunks, ensuring context-aware responses with formatted citation sources for every answer.

Do I need a pre-configured RAG corpus to use Google ADK?▼

Yes, you need a pre-configured RAG corpus and a Vertex AI backend to use Google ADK with this Skill, as it relies on an existing document corpus to fetch and cite information accurately.

Can I get cited sources for customer support queries using a RAG agent?▼

You can get cited sources for customer support queries by deploying this RAG agent to reference your company's product documentation, providing accurate, source-backed responses for every customer question.

What are the limitations of using ADK for retrieval-augmented generation?▼

Limitations of using ADK for retrieval-augmented generation include a strict dependency on a pre-configured Vertex AI RAG corpus and backend, meaning the agent cannot retrieve external data outside your defined document set.

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