AI TavilyWebSearch

AI TavilyWebSearch

Certified

Retrieve web results with Tavily

Uses Tavily Search to fetch live web context for RAG. Requires API key; maxResults caps returned snippets and defaults to 3. Requests count against Tavily quotas.

yaml
type: io.kestra.plugin.ai.retriever.TavilyWebSearch

Chat with your data using Retrieval Augmented Generation (RAG) and a WebSearch content retriever. The Chat with RAG retrieves contents from a WebSearch client and provides a response grounded in data rather than hallucinating.

yaml
id: rag
namespace: company.ai

tasks:
  - id: chat_with_rag_and_websearch_content_retriever
    type: io.kestra.plugin.ai.rag.ChatCompletion
    chatProvider:
      type: io.kestra.plugin.ai.provider.GoogleGemini
      modelName: gemini-2.5-flash
      apiKey: "{{ secret('GEMINI_API_KEY') }}"
    contentRetrievers:
      - type: io.kestra.plugin.ai.retriever.TavilyWebSearch
        apiKey: "{{ secret('TAVILY_API_KEY') }}"
    prompt: What is the latest release of Kestra?
Properties

API Key

Default3

Maximum number of results to return

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