Web Search by Exa
Neural web search and deep research that understands meaning, extracts clean content, and finds companies, people, or code with LLM-ready results.
# Web Search by Exa Neural web search and deep research that understands meaning, extracts clean content, and finds companies, people, or code with LLM-ready results. Web Search by Exa is a neural search engine designed specifically for AI agents. Unlike traditional keyword-based search, it uses semantic understanding to find pages based on meaning. It provides LLM-ready content , meaning it returns clean markdown or text without the need for complex scraping logic. Whether you need to conduct deep multi-step research, find specific professional profiles, or extract data from complex JavaScript-heavy websites, Exa provides the tools to do it efficiently. ## How It Works 1 Step 1 Neural Retrieval It matches queries based on intent and description rather than just keywords. 2 Step 2 Specialized Indexing It can target specific categories like research paper , company , people , or news . 3 Step 3 Content Extraction It uses a crawling tool to handle PDFs and JS-rendered pages, returning clean markdown. 4 Step 4 Deep Research An asynchronous agent can be triggered to perform multi-step analysis and compile a full report. ## Key Features - **Semantic Search**: Describe what you want in natural language to find the most relevant pages. - **Structured Extraction**: Use JSON schemas to extract specific data points directly from search results. - **Professional Search**: Dedicated tools for finding LinkedIn profiles, company funding data, and competitive intelligence. - **Code Context**: Search specifically across GitHub and documentation for high-quality code examples. - **Deep Research Agent**: Kick off long-running research tasks that synthesize information from multiple sources into a single report. ## Requirements - **Search API Key**: Required to unlock advanced tools (Deep Search, People Search) and remove rate limits. Supports: Exa ## Use Cases - **Market Research**: Find Series A B2B SaaS companies in specific sectors and extract their funding and location data. - **Technical Troubleshooting**: Search for specific code implementation patterns across GitHub and Stack Overflow. - **Candidate Sourcing**: Find machine learning engineers at specific companies with experience in niche technologies. - **Academic Review**: Search for the latest peer-reviewed research papers on specific AI architectures. ## Installation Install via: `npx clawhub@latest install web-search-exa`
Installation
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