Build a RAG on GCP

This course walks you step by step through building a Retrieval-Augmented Generation (RAG) system fully hosted on Google Cloud.

What you will build

An assistant that answers your teams' questions from internal documentation, citing its sources:

1. a Vertex AI RAG Engine corpus fed from Cloud Storage;
2. a sync job on Cloud Run that re-indexes changed documents;
3. an ADK agent served on Cloud Run that queries the corpus and calls Gemini.

Outline

Module	Content	Duration
Fundamentals	RAG architecture, embeddings, similarity	1h30
Implementation	Setup, Terraform, deployment, recap	2h30

Prerequisites

• A Google Cloud project with billing enabled.
• Basic Python and command-line skills.
• Some Terraform knowledge helps.