Tavily AI

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

Key features:
- Basic search: Perform simple searches with a query
- Advanced search: Perform 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 whether to include answers, raw content, or images
- Error handling: Raise HTTPError for unsuccessful HTTP requests

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: Tavily integrates with LangChain for advanced AI applications
- Leading partners: Tavily integrates with partners like Langchain and LlamaIndex
- Python: Tavily provides a Python wrapper for easy interaction with the API

Use of AI:
Tavily's search engine is designed to work with various LLMs, leveraging their capabilities to provide accurate and factual results.

AI foundation model:
Tavily's search engine is designed to work with various LLMs.

How to access:
Tavily is available as a web-based API and has a Python wrapper for easy integration. It offers various pricing plans, including a free plan with 1,000 API calls per month and paid plans with higher limits and tailored topics and sources.

Tavily was founded in October 2023 and is not open source. It is suitable for AI developers, researchers, and solopreneurs who need a reliable and efficient search engine for their LLM-based applications.