Search APL idioms using natural language queries to find expressions when exact keywords don't match. This tool understands semantic meaning in everyday language.
Find relevant project information using AI-powered semantic search based on natural language queries, supporting various content types like technical documentation and meeting notes.
Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
Enables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.