https://github.com/sapientcoffee/workbench-demo

https://github.com/sapientcoffee/workbench-demo

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/sapientcoffee/workbench-demo
• Owner: sapientcoffee
• License: apache-2.0
• Created: 2024-09-23T20:32:34.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-16T23:10:47.000Z (3 months ago)
• Last Synced: 2024-12-06T21:35:14.106Z (about 1 month ago)
• Language: HCL
• Size: 578 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

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README

        
# Deploy a Application Development environment and a GenAI app in less than 30 minutes

Here is a jump start solution of how to build a basic chatbot API that:

- Leverages GKE or Cloud Run with AlloyDB, VertexAI, and pgvector

- Demonstrates connectivity to AlloyDB using Private Service Connect in a VPC

- Codifies all infrastructure including using Terraform

- Uses Python with asyncpg and FastAPI

- (optional) Supports cross-project setups with AlloyDB and GKE or Cloud Run

  in separate projects

## Choose your Architecture

This app can be deployed with two different flavors:

- Cloud Run

- Google Kubernetes Engine (GKE)

### Cloud Run ([README](run/README.md))

![image](run/system-diagram.png)

To deploy the app using Cloud Run head to the [run](run/README.md) folder.

### GKE ([README](gke/README.md))

![image](gke/system-diagram.png)

To deploy the app using GKE head to the [gke](gke/README.md) folder.