Find entities and relations by keyword or semantic similarity using hybrid search. Specify query, mode, and threshold to retrieve relevant results from the Memento MCP server.
Search TiddlyWiki entries using filter syntax, semantic similarity, or hybrid methods to find relevant content based on tags, dates, titles, or conceptual meaning.
Search the R2R knowledge base using semantic, hybrid, or graph methods to find relevant documents and information for development, research, or debugging tasks.
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 agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.