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Research and select an appropriate database system.
Write purpose documentation for each standard folder
Configure the testing frameworks.
Remove Vector DB at the beginning
Consider removing the vector DB in the first stages of the project because the initial amount of information can be retrieved by semantic search in a normal MongoDB.
Conduct research to identify suitable web frameworks.
Integrate tests into the CI pipeline.
Set up test coverage metrics and benchmarks.
Select and configure a CI/CD tool.
Write basic environment check tests.
List necessary environment variables and setup instructions.
Draft README.md and CONTRIBUTING.md files outlining project contribution guidelines and progress reporting
Create src, tests, and docs folders in the project directory
Create CI pipelines for automated testing and deployment.
Select and install appropriate testing frameworks.
Evaluate vector databases for knowledge management.
Initialize Git repository with an initial commit
Decide between GitHub Codespaces or Docker for virtual codespaces.
Define branch naming conventions and commit message guidelines
Finalize database choices based on data retrieval and scalability.
Create documentation for setting up local and staging environments.
Define performance metrics like build time and success rates.
Compare frameworks based on performance, compatibility, and scalability.
Select the most suitable web framework.
Set up a project dashboard for tracking progress in real-time
Configure the selected virtual codespace.
Research CI/CD tools compatible with chosen frameworks and testing tools.
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