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CHANGELOG.md
 
 
CODE_OF_CONDUCT.md
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CONTRIBUTING.md
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LICENSE
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README.md
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SECURITY.md
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__init__.py
__init__.py
 
 
app_migrator_analysis.py
app_migrator_analysis.py
 
 
code_examples.json
code_examples.json
 
 
concept_examples.json
concept_examples.json
 
 
embed_examples.py
embed_examples.py
 
 
example_database.py
example_database.py
 
 
files_dependency.ipynb
files_dependency.ipynb
 
 
gemini-access-client.key
gemini-access-client.key
 
 
logger_config.py
logger_config.py
 
 
migration_script.sh
migration_script.sh
 
 
migration_summary.ipynb
migration_summary.ipynb
 
 
my_log_file.log
my_log_file.log
 
 
requirements.txt
requirements.txt
 
 
run_script.py
run_script.py
 
 
utils.py
utils.py
 
 

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Project Title

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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.
  2. Contextual Assistance: Provide real-time, relevant information and suggestions to users during the migration process.
  3. 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 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 for more information.

License

Apache 2.0 - See LICENSE for more information.

About

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.

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Apache-2.0 license

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