Search semantically across concepts to surface related content when keywords fail.
npx skills add https://github.com/mhagrelius/dotfiles --skill exa-search-mhagrelius
Please help me install this Agent Skill. Skill: exa-search Source: https://github.com/mhagrelius/dotfiles/tree/main/.claude/skills/exa-search Command: npx skills add https://github.com/mhagrelius/dotfiles --skill exa-search-mhagrelius
Helps users locate conceptually related content when exact keywords fail, enabling cross-perspective discovery and faster research.
Find papers on emergent AI behavior.
High-intent search queries and answers about installing and using this skill.
Semantic search finds related papers by prioritizing meaning over exact terms. It matches underlying concepts rather than specific keywords, allowing you to discover academic papers and industry reports that share ideas with your query even when exact terms fail.
The best way to research across multiple perspectives is using multi-source aggregation. This approach collects academic papers, industry reports, and critiques, surfacing related content across diverse viewpoints to help you understand a topic comprehensively.
Yes, you can use semantic search with only a general idea description. The engine matches conceptual meaning rather than exact terms, so inputting a general description will surface related articles and papers sharing underlying concepts with your query.
Yes, concept discovery requires a semantic retrieval engine that emphasizes meaning over keywords and supports multi-source aggregation. The engine should also fallback to keyword-based search if semantic results are weak to ensure reliable academic content retrieval.
When semantic search returns weak results, the system falls back to keyword-based search. This ensures you still retrieve relevant academic papers, industry reports, and critiques even when semantic matching does not surface sufficient related content.
zilliztechConvert text into embeddings and retrieve semantically similar items from a vector store.
ConnectiveTCSSynthesize multi-source research into cited analyses with executive summaries.
estelledcSearch, read, and organize academic papers via the LightRead CLI.
ccfCombine vector similarity with keyword matching for hybrid retrieval.
