This tool has a more extensive example use case documented in a Jupyter notebook here.

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Install Tavily and LlamaIndex

The following dependencies are required to properly run the integration:

pip install llama-index-tools-tavily-research llama-index llama-hub tavily-python

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Usage

You can use access Tavily in LlamaIndex through the TavilyToolSpec.

Here is a simple use case that performs a web search with Tavily and generates an answer to the user’s search query:

from llama_index.tools.tavily_research.base import TavilyToolSpec
from llama_index.agent.openai import OpenAIAgent

tavily_tool = TavilyToolSpec(
    api_key='tvly-YOUR_API_KEY',
)
agent = OpenAIAgent.from_tools(tavily_tool.to_tool_list())

agent.chat('What happened in the latest Burning Man festival?')

search: Search for relevant dynamic data based on a query. Returns a list of urls and their relevant content.

This loader is designed to be used as a way to load data as a Tool in an Agent. See here for examples.

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