exa-web-search

Purpose

This skill enables semantic web searches using Exa.ai's neural engine, allowing for advanced querying, web crawling, content extraction, highlighting key sections, and date-based filtering. It's designed for AI agents to fetch and process web data efficiently in tasks requiring real-time or historical information retrieval.

When to Use

Use this skill when you need to perform semantic searches beyond keyword matching, such as analyzing trends from recent articles, extracting data from crawled pages, or highlighting relevant content. Apply it in research tasks, content aggregation, or when integrating web data into AI workflows, especially if other search tools fail to capture contextual nuances.

Key Capabilities

• Semantic search using neural networks for understanding query intent.
• Web crawling to fetch pages dynamically based on queries.
• Content extraction to pull text, images, or metadata from pages.
• Highlighting of key phrases or sections in results.
• Date filtering to limit results to a specific range, e.g., last 7 days.
• Supports pagination and result limits for scalable queries.

Usage Patterns

Always initialize with authentication via environment variables. For CLI, run searches in a loop for batch processing. In code, use asynchronous API calls to avoid blocking. Structure queries with specific flags for precision, and parse responses to extract highlights or metadata. Test with small limits first to verify results.