exa

Perform semantic and neural web searches using Exa AI.

199|25|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/refly-ai/refly-skills --skill exa-refly-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exa
Source: https://github.com/refly-ai/refly-skills/tree/main/skills/exa
Command: npx skills add https://github.com/refly-ai/refly-skills --skill exa-refly-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you find information based on meaning rather than just keywords, making it easier to discover relevant content and understand complex topics.

Core Features & Use Cases

  • Semantic Search: Find documents and web content that are conceptually similar to your query.
  • Neural Web Search: Perform advanced searches that go beyond traditional keyword matching.
  • Use Case: You're researching "advancements in sustainable energy." Instead of just searching for those exact words, this Skill can find articles discussing related concepts like "renewable energy breakthroughs" or "green technology innovations."

Quick Start

Use the exa skill to search for the latest developments in artificial intelligence and retrieve 10 results.

Frequently Asked Questions about exa

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

FAQPage Schema
What is semantic search and how does it differ from keyword matching?

Semantic search finds documents based on conceptual meaning rather than exact keyword matches. It retrieves web content by understanding the context of your query, enabling you to discover related articles and similar documents that traditional keyword matching would miss.

How do I find similar documents using neural web search?

Neural web search discovers similar documents by analyzing the conceptual meaning of your input query. You provide a specific topic or text, and the search retrieves web content that is semantically related, bypassing exact word matching to find conceptually relevant information.

Can I use semantic search for content discovery on advanced research topics?

Yes, semantic search is designed for research and content discovery. By querying topics like "advancements in sustainable energy," you can retrieve conceptually related web content such as articles on "green technology innovations" without needing to specify exact keywords.

How many web search results can I retrieve for knowledge retrieval tasks?

You can retrieve up to 10 web search results per query for knowledge retrieval tasks. This allows you to quickly gather a concise set of conceptually relevant documents and web content to understand complex topics and perform advanced research.

What is the best way to search for concepts beyond exact keyword matches?

The best way to search beyond exact keyword matches is using neural web search. It performs advanced searches by evaluating the semantic meaning of your query, helping you discover relevant content and similar documents based on conceptual understanding rather than strict word overlap.

Does semantic search work for discovering related concepts like renewable energy breakthroughs?

Yes, semantic search works perfectly for discovering related concepts. If you search for "advancements in sustainable energy," it successfully retrieves web content discussing related concepts like "renewable energy breakthroughs" by understanding the underlying meaning of your research query.