exa-search
Exa-search combines keyword and semantic web retrieval for research-grade lookups on scientific and technical topics. Route queries to web search for topic research or URL extraction for fetching specific pages and academic PDFs. Use category filters and domain allowlists to prioritize peer-reviewed journals, preprints, and institutional sources.
Exa-search lets you search the web and extract content with semantic retrieval optimized for scientific and technical queries.
AI-generated summary based on this skill's SKILL.md
Install
K-Dense-AI/scientific-agent-skills/exa-search · repository language: Python
git clone https://github.com/K-Dense-AI/scientific-agent-skills
cp -r scientific-agent-skills/skills/exa-search ~/.claude/skills/exa-searchFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I search the web for information about quantum computing?
Exa-search lets you query the web for scientific and technical information on topics like quantum computing. Submit your topic as a search query, and exa-search retrieves relevant results from across the web. For research-grade results, use semantic search mode to find conceptually related content beyond keyword matches, or apply academic filters to prioritize peer-reviewed sources and institutional repositories.
Can exa-search fetch content from specific URLs or academic PDFs?
Yes. Exa-search supports URL extraction to retrieve and extract text content from specific webpages and academic PDFs. Provide the URL directly, and exa-search fetches the page content for you. This is useful for pulling full-text articles, research papers, or technical documentation when you already know the source location.
What's the best way to find peer-reviewed articles and scholarly sources?
Exa-search includes academic filtering to prioritize peer-reviewed journals and scholarly sources. When searching, enable category filters to focus on academic databases, preprint servers like arXiv, and institutional repositories. You can also use domain allowlists to restrict results to known research publishers and university sites, ensuring higher-quality, vetted sources.
Does exa-search support batch URL extraction for multiple pages?
Exa-search supports batch URL extraction, allowing you to retrieve content from multiple pages or documents in a single operation. This is useful for gathering data across several research articles, technical documentation pages, or related sources without making individual requests for each URL.
How does semantic web search work in exa-search for research topics?
Exa-search uses semantic retrieval to understand the meaning and context of your research query, not just matching keywords. This approach finds conceptually related articles and studies even when they use different terminology. It's particularly effective for complex topics like climate change studies or neural networks, where semantic understanding captures relevant research you might miss with keyword-only search.
SKILL.md
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Exa Web Toolkit
A skill for web-powered research tasks backed by Exa: web search and URL extraction. Exa's index combines high-quality keyword and semantic retrieval, which makes it well-suited to scientific, technical, and conceptual
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skills/exa-search/SKILL.md
skills/exa-search/references/web-extract.md
skills/exa-search/references/web-search.md
skills/exa-search/scripts/exa_extract.py
skills/exa-search/scripts/exa_search.py