What problem does it solve?
Standard academic search tools like arXiv and Semantic Scholar only cover published research papers, leaving out blogs, technical documentation, news articles, company profiles, and other broad web content. Even when using general web search, you have to manually visit each result to extract the information you need, which is time-consuming and inefficient.
Core Features & Use Cases
- Broad Web Coverage: Search across all types of web content including blogs, technical docs, news, company pages, and research papers, going far beyond the limits of academic-only databases.
- Built-in Content Extraction: Get highlights, full text, or LLM-generated summaries of each result directly in your search output, no need to manually open individual pages to find the information you need.
- Advanced Filtering: Narrow results by category, date range, domain, or required/excluded text to quickly find exactly the content you're looking for.
- Use Case: If you're researching a new AI framework, you can use this Skill to find recent news about its release, pull key implementation details from its official documentation, and find related blog posts explaining its use cases, all in a single search.
Quick Start
Use the exa-search skill to find 2025 news about the MICCAI 2025 conference with full text content extracted for each result.
