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Tavily: Real-Time Search API for LLMs & RAG

Search engine and API tailored to power AI agents and Retrieval-Augmented Generation workflows

Tavily Overview

Tavily provides a developer-first Search API optimized for real-time data retrieval tailored to LLMs and AI agents. It streamlines ingestion of fresh web content with built-in citations, context control, and support for RAG-driven applications.

Main Features

Use Cases

  • Powering RAG pipelines with real-time web context

  • Research assistants and autonomous AI agents

  • Q&A systems with source citations

  • Market, competitive, and technical research

  • Agentic workflows

Integrations

CLI or REST API and more…

Why Teams
Choose Tavily

  • Built for LLMs & RAG

    Specifically designed to reduce hallucinations and deliver accurate, factual context
  • Domain filters, token budgets, depth control and time ranges let teams tailor results precisely
  • Plug-and-play integration

    Easy-to-use SDKs and API endpoints make setup fast for developers and AI teams
  • Real-time freshness

    Live web search ensures content always includes the latest available information
  • Citations by default

    Every response includes source citations to boost trust and traceability

Alternatives

Pricing Plans

  • Researcher

    Free; 1,000 API credits/month

  • Pay as You Go

    $0.008/credit, flexible usage

  • Project

    $30/month; 4,000 credits, higher rate limits

  • Enterprise

    Custom pricing, SLAs, security, support

Final Thoughts

Tavily stands out as a focused, comprehensive solution for teams building RAG-powered LLM applications—delivering real-time, accurate search with minimal integration effort. If you’re building agentic systems or research workflows, it’s well worth exploring.