exa-search

Perform semantic web searches and structured research via the Exa API.

3|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/legout/pi-config --skill exa-search-legout
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa-search
Source: https://github.com/legout/pi-config/tree/main/installed-skills/exa-search
Command: npx skills add https://github.com/legout/pi-config --skill exa-search-legout

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of performing high-quality, context-aware web research by providing a direct interface to the Exa semantic search engine, reducing the need for manual browsing and information synthesis.

Core Features & Use Cases

  • Semantic Search: Perform intent-based searches that understand the meaning behind queries rather than just keyword matching.
  • Structured Research: Generate research outputs based on specific schemas, perfect for gathering data on new topics or market trends.
  • Content Extraction: Retrieve clean, LLM-ready text and highlights from search results to avoid token waste and irrelevant noise.

Quick Start

Use the exa-search skill to perform a semantic search for the latest developments in artificial intelligence and summarize the key findings.

Frequently Asked Questions about exa-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does semantic web search differ from regular keyword search?

You can perform structured research by using semantic search to generate outputs based on specific schemas. This allows you to gather structured data on new topics or market trends and process the JSON payloads for downstream analysis.

How do I extract full document content from search results?

To extract full document content, the semantic search API retrieves clean text and highlights from search results. This process avoids token waste and irrelevant noise by providing LLM-ready text directly from the matched pages.

Do I need Node.js to execute semantic search API requests?

Yes, you need a Node.js environment to execute semantic search API requests. This environment is required to process the JSON payloads returned by the API and handle the downstream research analysis.

What's the best way to automate web research and find similar pages?

The best way to automate web research is using a semantic search API that supports finding similar pages and content extraction. It reduces manual information synthesis by directly retrieving structured answers and relevant web content.