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tavily-search-free

Perform real-time web searches returning JSON with title, URL, content, and score.

18|3|Updated Jan 8, 2026
Search Tags:#api#llm#rag#real-time#web-search#tavily
One-click install
npx skills add https://github.com/Dwsy/agent --skill tavily-search-free
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily-search-free
Source: https://github.com/Dwsy/agent/tree/main/skills/tavily-search-free
Command: npx skills add https://github.com/Dwsy/agent --skill tavily-search-free

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tavily-python, python-dotenv, and includes scripts (resource) components.

What problem does it solve?

Tavily Search Free enables fast, real-time web search results to empower LLMs and RAG pipelines by replacing manual lookups and stale data with fresh, structured sources.

Core Features & Use Cases

  • Real-time search results optimized for LLMs and RAG pipelines
  • API-driven queries with optional basic/advanced depth
  • Use cases include research, knowledge-base updates, and competitive analysis

Quick Start

Run a basic search by executing the tavily_search.py script with your query.

Frequently Asked Questions about tavily-search-free

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

FAQPage Schema
How do I get real-time web search results for my LLM RAG pipeline?▼

To get real-time web search results for an LLM RAG pipeline, you can run a script that queries an API and returns JSON containing title, url, content, and score fields. This replaces stale training data with fresh, structured sources.

Do I need a Tavily API key to perform real-time web search queries?▼

Yes, you need a Tavily API key configured in an environment file to perform real-time web search queries. The skill relies on this key to authenticate API requests and retrieve up-to-date information for your workflows.

Can I configure the search depth and max results for web search queries?▼

Yes, you can configure the search depth and max results for web search queries. The skill supports both basic and advanced search modes, allowing you to control the query depth and the number of results returned.

What is the best way to update a knowledge base with fresh web search data?▼

The best way to update a knowledge base with fresh web search data is to use an API-driven query tool that returns structured JSON. This allows rapid information gathering and competitive analysis by providing up-to-date content and relevance scores.

Does the real-time web search skill work with Python for software engineering research?▼

Yes, the real-time web search skill works with Python, utilizing the tavily-python and python-dotenv dependencies. It is designed for software engineering, data analytics, and product development teams needing rapid information gathering.

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