Tavily

Delivers fast, authoritative, and factual results from trusted sources, reducing hallucinations and errors in AI decision-making, ideal for AI research and development.
Natural Language Processing Information Retrieval API Integration

Tavily is a search engine API that's tuned to get the most out of large language models (LLMs) and RAGs. It can provide fast and authoritative results to help cut down on hallucinations and other problems with AI decision making. The API returns up-to-date, factual information through a combination of aggregation and curation of trusted sources, making it a good choice for a wide range of AI tasks and agents.

Some of the benefits of Tavily include:

  • Comprehensive Research: Get the information you need with aggregated, curated results from a single API call.
  • Intelligent Query Suggestions and Answers: Give your AI the ability to ask follow-up questions and get more nuanced answers to keep digging deeper.

Tavily offers a range of plans for different needs and project sizes:

  • ResearcherFree: 1,000 API calls per month, no credit card required, and email support.
  • Project: 4,000 API calls per month with custom topics and sources, and email support.
  • Bootstrap: 15,000 API calls per month with custom topics and sources, and email support.
  • Startup: 38,000 API calls per month with custom topics and sources, and email support.
  • Growth: 100,000 API calls per month with custom topics and sources, and email support.

Tavily uses sophisticated algorithms and models to ensure the information it returns is accurate, sourced from a variety of trusted sources. That's different from other search APIs, which often are tuned for general purpose use and may not work well with LLM context. Tavily also is designed to be more affordable and flexible.

Tavily is geared for AI researchers, developers and applications that need quick and reliable access to information. It can help automate research, making it easier to integrate into your projects and platforms.

Published on June 14, 2024

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