Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Research and Implement Vector Database on AWS #156

Open
espin086 opened this issue Sep 19, 2024 · 0 comments
Open

Research and Implement Vector Database on AWS #156

espin086 opened this issue Sep 19, 2024 · 0 comments

Comments

@espin086
Copy link
Owner

Ask:

  • Research vector databases available inside of AWS (e.g., Bedrock).
  • Create a vector database inside of AWS.
  • Move data from a SQLite database into the newly created vector database on AWS.
  • Test and ensure all application functionality still works after migration.

Scope:

  • Evaluate and choose the appropriate vector database service within AWS that fits the application's requirements.
  • Set up and configure the selected vector database on AWS.
  • Plan and execute the migration of data from SQLite to the vector database.
  • Perform comprehensive testing to validate that existing application features are unaffected.

Acceptance Criteria:

  • A detailed report on various vector database options within AWS.
  • Successful deployment of a vector database instance on AWS.
  • Data from the SQLite database fully migrated to the vector database.
  • Confirmation that all application functionalities work correctly post-migration.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant