{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Integrates Tavily's web search and content extraction APIs into LangChain applications, enabling agents and tools to perform web searches and extract page content programmatically.","skillfed_tags":["web-search","agent-tools","llm-integration"],"use_cases":["Build an AI research assistant that searches the web for current information and synthesizes answers to user queries.","Create an agent that filters search results by domain, date range, or geography to find domain-specific or time-sensitive information.","Extract and parse content from multiple URLs in bulk to feed structured data into downstream LLM processing.","Augment a chatbot with real-time web search capability so it can answer questions about recent events or breaking news.","Implement a fact-checking workflow where an agent searches for corroborating sources and extracts their content."],"what_it_does":"langchain-tavily is a LangChain integration that wraps Tavily's web search and content extraction APIs. It provides two main tools: TavilySearch for querying the web with customizable parameters (search depth, time range, domain filtering, result format), and TavilyExtract for extracting structured content from URLs. Both tools are designed to work seamlessly with LangChain agents, allowing language models to dynamically invoke web searches and extract page data as part of agentic workflows.\n\nThe package depends on langchain-core, langchain, aiohttp, and requests. It requires a Tavily API key (obtained by creating an account at tavily.com) and supports Python 3.10 through 3.13. The tools accept numerous optional parameters at instantiation (max_results, topic, include_answer, search_depth, time_range, domain filters) and some parameters can be overridden at invocation time, though response-size parameters like include_answer and include_raw_content are fixed at instantiation to prevent context window issues.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and integrates cleanly into LangChain workflows. It fills a genuine need for agents that require web search and content extraction. The main gotcha is the requirement for a Tavily API key and account setup, but that is external to the package itself."},"id":"langchain-tavily","links":{"html":"https://skillfed.io/packages/langchain-tavily","md":"https://skillfed.io/packages/langchain-tavily.md","pypi":"https://pypi.org/project/langchain-tavily/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-16","license_spdx":null,"license_treatment":"permissive","name":"langchain-tavily","python_support":"supports_current","summary":"An integration package connecting Tavily and LangChain"},"popularity":{"monthly_downloads":793778,"position":5040,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.18"}