Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python.
Quickly install tavily AI skill to your development environment via command line
Source: itechmeat/llm-code.
AI-optimized search engine for building LLM applications with real-time web data.
| REST API | api.md | | Python SDK | python.md | | JavaScript SDK | javascript.md | | Best Practices | best-practices.md | | Integrations | integrations.md |
Install: pip install tavily-python (Python) or npm i @tavily/core (JavaScript).
Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python. Source: itechmeat/llm-code.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/itechmeat/llm-code --skill tavilyTavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python. Source: itechmeat/llm-code.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/itechmeat/llm-code --skill tavily Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/itechmeat/llm-code