An efficient technique for managing code context when working with Large Language Models. Context Tags retrieve only the relevant code segments of your code base through tag-based searches, making it easier to provide focused, efficient context during LLM interactions.
Search for code segments by categorical tags or by granular code element names, retrieve related components, and easily copy the results into LLM chat windows. Context Tags supports multiple approaches to code discovery - from traditional tag matching to vector databases for semantic search and graph databases for relationship exploration.
- Tag-based code segment retrieval
- Interactive command line interface
- Smart tag suggestions
- Copy-paste friendly output
- Knowledge graph integration
- Related code discovery
- Search using tags:
- Enter tags separated by commas (e.g., "String, Logger")
- Type 'tags' to see all available tags
- Type 'help' for usage information
- Type 'quit' or press Ctrl+C to exit
Contributions are welcome. Please read CONTRIBUTING.md for guidelines.
- Review the documentation in the /docs folder
- Check existing issues or create a new one
- Read the sample knowledge graph for tag examples
MIT License - See LICENSE file for details.
Author: Brandon Docusen
Version: 1.0.0
Status: Beta Release