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Sheshiyer
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infsh-web-search

Search the web and extract content using Tavily or Exa via inference.sh.

4|1|Updated Feb 10, 2026
Search Tags:#research#rag#ai-assistant#web-search#exa#tavily#content-extraction
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill infsh-web-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: infsh-web-search
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/normalized/infsh-web-search
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill infsh-web-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Web search and content extraction are essential for researchers and AI agents to gather reliable sources quickly and turn scattered web content into actionable insights.

Core Features & Use Cases

  • AI-powered web search to locate relevant sources
  • Content extraction and summarization from URLs for quick ingestion
  • Supports integration with Tavily and Exa apps for search, extract, and answers
  • Use Case: Build a research pipeline that discovers sources, extracts key passages, and feeds them to an LLM for synthesis

Quick Start

Search the web with Tavily or Exa and extract relevant content from sources you specify.

Frequently Asked Questions about infsh-web-search

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

FAQPage Schema
How do I automate web search and content extraction for a RAG pipeline?▼

You can automate web search and content extraction for a RAG pipeline by using inference.sh with Tavily or Exa to discover relevant sources and extract key passages. This feeds extracted content directly to an LLM for synthesis.

What's the best way to extract content from a list of URLs for AI ingestion?▼

The best way to extract content from a list of URLs for AI ingestion is using inference.sh configured with Tavily or Exa. It processes URL lists directly, extracting and summarizing web content for quick LLM ingestion.

Do I need the inference.sh CLI to run query-based web searches?▼

Yes, you need the inference.sh CLI installed with Tavily or Exa configurations to run query-based web searches. The CLI enables automated source discovery and content extraction across multiple domains.

Can I use Tavily and Exa together for source discovery and content extraction?▼

Yes, you can use Tavily and Exa together through inference.sh for source discovery and content extraction. Both apps support search, extract, and answer functions to gather authoritative web content for research pipelines.

How does AI-powered web search work for finding authoritative sources?▼

AI-powered web search works by leveraging Tavily or Exa through inference.sh to locate relevant and authoritative sources across multiple domains. It targets researchers needing rapid access to reliable web content for data operations.

What are the limitations of using inference.sh for web content extraction?▼

The main limitation is that web content extraction requires the inference.sh CLI and proper Tavily or Exa configuration. Without these dependencies configured, automated search and extraction for RAG pipelines cannot function.

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