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Deploy a production ready GenAI app in less than 30 minutes\n\nHere is a jump start solution of how to build a basic chatbot API that:\n\n- Leverages GKE or Cloud Run with Cloud SQL, VertexAI, and pgvector\n- Demonstrates connectivity to Cloud SQL using Private Service Connect in a VPC\n- Codifies all infrastructure including using Terraform\n- Uses Python with asyncpg and FastAPI\n- (optional) Supports cross-project setups with Cloud SQL and GKE or Cloud Run\n  in separate projects\n\nThis solution is an operationalized version of a previously published colab,\n[Building AI-powered data-driven applications using pgvector, LangChain and\nLLMs][colab].\n\n[colab]: https://colab.sandbox.google.com/github/GoogleCloudPlatform/python-docs-samples/blob/main/cloud-sql/postgres/pgvector/notebooks/pgvector_gen_ai_demo.ipynb\n\n## Choose your Architecture\n\nThis app can be deployed with two different flavors:\n\n- Cloud Run\n- Google Kubernetes Engine (GKE)\n\n### Cloud Run ([README](run/README.md))\n\n![image](run/system-diagram.png)\n\nTo deploy the app using Cloud Run head to the [run](run/README.md) folder.\n\n### GKE ([README](gke/README.md))\n\n![image](gke/system-diagram.png)\n\nTo deploy the app using GKE head to the [gke](gke/README.md) folder.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgooglecloudplatform%2Fcloudsql-jump-start-solution-for-genai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgooglecloudplatform%2Fcloudsql-jump-start-solution-for-genai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgooglecloudplatform%2Fcloudsql-jump-start-solution-for-genai/lists"}