A semantic-code search engine
Project description
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
Manually testing
To manually test this app against a code repository, you can use the following command:
poetry run python seagoat/main.py ~/path/to/your/repository
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