https://github.com/cloudspannerecosystem/app-migration-poc

This repository contains a proof of concept (POC) project focused on streamlining the migration of applications to Google Cloud Spanner. By leveraging the power of Generative AI and Retrieval-Augmented Generation (RAG), this project aims to reduce customer friction and enhance the overall migration experience.
https://github.com/cloudspannerecosystem/app-migration-poc

Last synced: 5 months ago
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This repository contains a proof of concept (POC) project focused on streamlining the migration of applications to Google Cloud Spanner. By leveraging the power of Generative AI and Retrieval-Augmented Generation (RAG), this project aims to reduce customer friction and enhance the overall migration experience.

• Host: GitHub
• URL: https://github.com/cloudspannerecosystem/app-migration-poc
• Owner: cloudspannerecosystem
• License: apache-2.0
• Created: 2024-07-09T07:06:50.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-09T06:55:07.000Z (over 1 year ago)
• Last Synced: 2026-01-17T14:46:40.010Z (5 months ago)
• Language: Jupyter Notebook
• Size: 359 KB
• Stars: 0
• Watchers: 5
• Forks: 1
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Codeowners: .github/CODEOWNERS
  • Security: SECURITY.md

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README

          
# Project Title

[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://ssh.cloud.google.com/cloudshell/editor?cloudshell_git_repo=GITHUB_URL)

*Description*

> **POC: App Migration to Spanner using Generative AI and RAG:** This repository contains a proof of concept (POC) project focused on streamlining the migration of applications to Google Cloud Spanner. By leveraging the power of Generative AI and Retrieval-Augmented Generation (RAG), this project aims to reduce customer friction and enhance the overall migration experience.

## Scope

1. Automate Migration Tasks: Use AI to handle repetitive and time-consuming tasks, increasing efficiency and accuracy.

1. Contextual Assistance: Provide real-time, relevant information and suggestions to users during the migration process.

1. Enhance User Experience: Offer a user-friendly interface and clear guidance to reduce the learning curve and stress associated with migration.

## Getting Started

### Prerequisites

## Contributing

Contributions to this library are always welcome and highly encouraged.

See [CONTRIBUTING](CONTRIBUTING.md) for more information how to get started.

Please note that this project is released with a Contributor Code of Conduct. By participating in

this project you agree to abide by its terms. See [Code of Conduct](CODE_OF_CONDUCT.md) for more

information.

## License

Apache 2.0 - See [LICENSE](LICENSE) for more information.