RAG for enterprise search using GKE and AlloyDB

This skill provides a workflow to design and implement a secure, low-latency, and high-accuracy RAG-enabled conversational search solution for private enterprise content by using an AlloyDB database, Cloud Storage, and a Google Kubernetes Engine (GKE) cluster to host all the application components, including an open model and an open-source inference framework.

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read and follow the instructions in Usage Attribution.

Overview of the workflow