Pricing
Free trial
Free version

Tavily is a search API designed specifically for AI agents and LLM-powered applications. It provides real-time web search and retrieval capabilities that are optimized to return clean, relevant, and factual results suitable for use in AI pipelines. Unlike general-purpose search engines, Tavily is purpose-built to reduce hallucinations in AI outputs by grounding responses in up-to-date web content. It offers a simple API interface that developers can integrate into agentic workflows, RAG (retrieval-augmented generation) systems, and AI assistants. Tavily supports features such as topic-focused search, content extraction, and result filtering to help AI applications retrieve only the most relevant information. It is commonly used with frameworks such as LangChain and LlamaIndex to build research agents, question-answering systems, and automated information-gathering pipelines. The platform offers both free and paid tiers, making it accessible to individual developers as well as teams building production-grade AI applications.

Do you work for Tavily?Claim this product page

Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • API

Aggregated Score

  Submit a review
No reviews yet

Key features

Real-time web search APILLM-optimized search resultsContent extraction from web pagesTopic-focused search filteringRAG-ready result formattingAI agent integration supportResult relevance scoringSimple REST API interface

Use cases

  • Integrate real-time web search into AI agents
  • Build retrieval-augmented generation (RAG) pipelines
  • Automate web research workflows
  • Power question-answering applications
  • Extract structured content from web pages

Best for

  • AI developers who need to ground LLM outputs in real-time web data
  • Startup teams who need to build agentic search capabilities without managing crawlers
  • Researchers who need to automate information gathering from the web
  • Engineers who need a search API optimized for LangChain or LlamaIndex workflows

Integrations

Developer

LangChain, LlamaIndex

AI models included

OpenAI, Anthropic