Repository
terraform-genai-doc-summarization
Summarizes document using OCR and Vertex Generative AI LLM
- Name
- Description
- bigquery_dataset_id
- The name of the BigQuery dataset created
- bucket_docs_name
- The name of the docs bucket created
- bucket_main_name
- The name of the main bucket created
Specs
- NameDescription
- bigquery_dataset_idThe name of the BigQuery dataset created
- bucket_docs_nameThe name of the docs bucket created
- bucket_main_nameThe name of the main bucket created
- documentai_processor_idThe full Document AI processor path ID
- neos_walkthrough_urlThe URL to launch the in-console tutorial for the Generative AI Document Summarization solution
- unique_idThe unique ID for this deployment
README
Generative AI Document Summarization
Description
Tagline
Create summaries of a large corpus of documents using Generative AI.
Detailed
This solution showcases how to summarize a large corpus of documents using Generative AI. It provides an end-to-end demonstration of document summarization going all the way from raw documents, detecting text in the documents and summarizing the documents on-demand using Vertex AI LLM APIs, Document AI Optical Character Recognition (OCR), and BigQuery.
PreDeploy
To deploy this blueprint you must have an active billing account and billing permissions.
Architecture
- User uploads a new document triggering the webhook Cloud Function.
- Document AI extracts the text from the document file.
- A Vertex AI Large Language Model summarizes the document text.
- The document summaries are stored in BigQuery.
Documentation
Deployment Duration
Configuration: 1 mins
Deployment: 5 mins
Cost
Inputs
| Name | Description | Type | Default | Required |
|---|---|---|---|---|
| disable_services_on_destroy | Whether project services will be disabled when the resources are destroyed. | bool |
false |
no |
| documentai_location | Document AI location, see https://cloud.google.com/document-ai/docs/regions | string |
"us" |
no |
| labels | A set of key/value label pairs to assign to the resources deployed by this blueprint. | map(string) |
{} |
no |
| project_id | The Google Cloud project ID to deploy to | string |
n/a | yes |
| region | The Google Cloud region to deploy to | string |
"us-central1" |
no |
| unique_names | Whether to use unique names for resources | bool |
false |
no |
Outputs
| Name | Description |
|---|---|
| bigquery_dataset_id | The name of the BigQuery dataset created |
| bucket_docs_name | The name of the docs bucket created |
| bucket_main_name | The name of the main bucket created |
| documentai_processor_id | The full Document AI processor path ID |
| neos_walkthrough_url | The URL to launch the in-console tutorial for the Generative AI Document Summarization solution |
| unique_id | The unique ID for this deployment |
Requirements
These sections describe requirements for using this module.
Software
The following dependencies must be available:
- Terraform v0.13
- Terraform Provider for GCP plugin v3.0
Service Account
A service account with the following roles must be used to provision
the resources of this module:
- Storage Admin:
roles/storage.admin
APIs
A project with the following APIs enabled must be used to host the
resources of this module:
- Google Cloud Storage JSON API:
storage-api.googleapis.com
Contributing
Refer to the contribution guidelines for
information on contributing to this module.
Security Disclosures
Please see our security disclosure process.