Introducing SeaGOAT: An AI-Powered Local Code Search Engine for Semantic Code Analysis

SeaGOAT is a local code search engine that uses vector embeddings for semantic code search. It can be installed on various operating systems and supports multiple programming languages. SeaGOAT does not rely on third-party APIs and executes all functionality locally. It currently supports several file formats and uses a vector database called ChromaDB and ripgrep for code search. Users have asked about features such as CUDA acceleration, sharing the generated database within a team, support for more complex queries, and adding support for other programming languages. The developer has provided responses and plans to add new features, including support for multiple repositories and a web version. Other users have mentioned similar tools and offered collaborations.

🔗 https://github.com/kantord/SeaGOAT

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