Description
SeaGOAT is a code search engine designed for the AI age, allowing developers to search their codebases semantically using vector embeddings. It operates locally, ensuring that no data is sent to remote servers, which enhances privacy and security. SeaGOAT relies on ChromaDB for vector embeddings and uses ripgrep for regular expression-based searches. It supports various file formats including Python, C, C++, JavaScript, and more.
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Installation requires Python 3.11 or newer, ripgrep, and optionally bat for enhanced result display. SeaGOAT is compatible with Linux, macOS, and Windows, although full testing is pending for macOS and Windows. Developers can start the SeaGOAT server locally and use commands like 'gt' or 'seagoat' to query their repositories.
Configuration is flexible, allowing customization through YAML files. SeaGOAT is open source, with its code available for examination and contribution. It does not rely on third-party APIs, ensuring all functionality is executed locally. The tool is designed to be non-intrusive, allowing users to continue using their computers while processing large repositories.
SeaGOAT supports UTF-8 encoding and ignores binary files, focusing on text-based formats. It offers the ability to host the server on different computers or in the cloud, though security measures should be considered for sensitive code. Contributions to SeaGOAT are welcomed, with guidelines provided for setting up the development environment and submitting pull requests.
- CategoryCoding & Development
- Pricing ModelOpen Source
- DeploymentLocal
- PlatformsLinux, macOS, Windows
SeaGOAT Code Search Engine's Core Features
Local semantic code search
Vector embeddings with ChromaDB
Regular expression support via ripgrep
Open source license
Supports multiple programming languages
Customizable YAML configuration
Operates without internet connection
No reliance on third-party APIs
UTF-8 encoding support
Optional bat integration for result display
Cross-platform compatibility
Self-hosting capability
Non-intrusive processing
Privacy-focused operation
Community contributions welcomed
How to use SeaGOAT Code Search Engine?
Install dependencies: Python, ripgrep, bat
Start server: Use command to initiate SeaGOAT
Query repository: Use 'gt' or 'seagoat' commands
Configure settings: Use YAML files for customization
Stop server: Use command to halt operations
SeaGOAT Code Search Engine's Use Cases
- Semantic code search
- Regular expression queries
- Local server hosting
- Cross-platform development
- Custom configuration
