A semantic-code search engine
Project description
SeaGOAT
A code search engine for the AI age. SeaGOAT leverages vector embeddings to enable to search your codebase semantically.
Development
Requirements:
Install dependencies
After cloning the repository, install dependencies using the following command:
poetry install
Running tests
Watch mode (recommended)
poetry run ptw
Test changed files
poetry run pytest . --testmon
Test all files
poetry run pytest .
Manually testing
To manually test this app against a code repository, you can use the following command:
poetry run seagoat ~/path/to/your/repository
Project details
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