cloudsql-jump-start-solution-for-genai

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cloudsql-jump-start-solution-for-genai

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A jump start solution using GKE or Cloud Run with Cloud SQL and VertexAI

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# Deploy a production ready 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 Cloud SQL, VertexAI, and pgvector
- Demonstrates connectivity to Cloud SQL 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 Cloud SQL and GKE or Cloud Run
  in separate projects

This solution is an operationalized version of a previously published colab,
[Building AI-powered data-driven applications using pgvector, LangChain and
LLMs][colab].

[colab]: https://colab.sandbox.google.com/github/GoogleCloudPlatform/python-docs-samples/blob/main/cloud-sql/postgres/pgvector/notebooks/pgvector_gen_ai_demo.ipynb

## 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](https://raw.githubusercontent.com/GoogleCloudPlatform/cloudsql-jump-start-solution-for-genai/main/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](https://raw.githubusercontent.com/GoogleCloudPlatform/cloudsql-jump-start-solution-for-genai/main/gke/system-diagram.png)

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

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