mazzasaverio/terraform-gcp-cloud-run
Terraform code to instantiate a Cloud Run V2 connected to a Postgres Cloud SQL, on which the pgvector extension will be enabled, with a connection to Redis and continuous deployment through the automatic trigger of Cloud Build.
This project helps developers quickly set up the core infrastructure on Google Cloud Platform (GCP) needed for a Retrieval-Augmented Generation (RAG) application. It takes your existing container image and deploys it to Cloud Run V2, connecting it to a PostgreSQL database with pgvector for embeddings and Redis for caching. This is for developers building and deploying RAG applications who want a robust, scalable backend ready to go.
No commits in the last 6 months.
Use this if you are a developer looking for a template to quickly provision the GCP infrastructure for a RAG-enabled application, including a PostgreSQL database with vector capabilities, a Redis cache, and continuous deployment.
Not ideal if you are not familiar with Terraform or Google Cloud Platform, or if your application does not involve RAG or require a pgvector-enabled PostgreSQL database.
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HCL
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Last pushed
Apr 09, 2024
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