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A semantic-code search engine

Project description

Logo 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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