Tavily AI

Tavily is a search engine specifically designed for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) applications. It provides real-time, accurate, and factual results to help reduce hallucinations and bias in AI decision-making, making it an ideal tool for AI developers and researchers.

Key features:
- Basic Search: Perform simple searches with a query.
- Advanced Search: Conduct in-depth searches with options for search depth, topic, and maximum results.
- Keyword Arguments: Control search parameters such as search depth, topic, maximum results, and inclusion of answers, raw content, or images.
- Error Handling: Raise HTTPError for unsuccessful HTTP requests.
- Python Wrapper: Easily interact with the Tavily API using the tavily-python package.
- API Methods: Includes search, get_search_context, qna_search, and get_company_info functions for various search capabilities.
- LangChain Integration: Use Tavily as a retriever in LangChain for advanced AI applications.

How it works:
1. Users register and obtain an API key to access the Tavily Search API.
2. Users interact with the API using the tavily-python package, which provides methods for basic and advanced searches.
3. Users submit a query to the Tavily API.
4. Tavily's advanced algorithms and models gather information from trusted sources.
5. The API returns the search results, which can include answers, sources, and images.

Integrations:
LangChain, LlamaIndex, Python

Use of AI:
Tavily's search engine is designed to work with various LLMs, leveraging their capabilities to provide accurate and factual results. It is optimized for efficient and persistent search results, making it suitable for AI-powered applications.

Target users:
- AI developers
- Researchers
- Solopreneurs

How to access:
Tavily is available as a web-based API and has a Python wrapper for easy integration. Users can register on the Tavily website to obtain an API key and access the service.

Pricing plans:
- Free: 1,000 API calls per month, no credit card required
- Enthusiasts: 4,000 API calls per month, tailored topics and sources
- Solopreneurs and Small Teams: 15,000 API calls per month, tailored topics and sources
- Built for Scale: 38,000 API calls per month, tailored topics and sources
- Built for Growth: 100,000 API calls per month, tailored topics and sources