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Update README.md #135

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4 changes: 2 additions & 2 deletions explore-assistant-backend/README.md
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## Overview

This Terraform configuration establishes a backend for the Looker Explore Assistant on Google Cloud Platform (GCP), facilitating interaction with the Gemini Pro model of Vertex AI. The setup supports two options: a Cloud Function backend and a BigQuery backend, each acting as a proxy/relay for running content through the model.
This Terraform configuration establishes a backend for the Looker Explore Assistant on Google Cloud Platform (GCP), facilitating interaction with the Gemini Flash model of Vertex AI. The setup supports two options: a Cloud Function backend and a BigQuery backend, each acting as a proxy/relay for running content through the model.

The Explore Assistant also uses a set of examples to improve the quality of its answers. We store those examples in BigQuery. Please see the comparisons below when deciding which deployment approach to use.

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- Google Cloud Functions or Cloud Run services, based on the selected backend.
- Google BigQuery dataset and table to store the examples
- Google BigQuery connection and gemini pro model, if using the BigQuery backend.
- Google BigQuery connection and gemini flash model, if using the BigQuery backend.
- Necessary IAM roles and permissions for the Looker Explore Assistant to operate.
- Storage buckets for deploying cloud functions or storing data.
- Artifact Registry for storing Docker images, if required.
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