WebSearch content retriever for Tavily Search
yaml
type: "io.kestra.plugin.ai.retriever.TavilyWebSearch"Examples
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: "{{ kv('GEMINI_API_KEY') }}"
    contentRetrievers:
      - type: io.kestra.plugin.ai.retriever.TavilyWebSearch
        apiKey: "{{ kv('TAVILY_API_KEY') }}"
    prompt: What is the latest release of Kestra?
Properties
apiKey *Requiredstring
API Key
maxResults integerstring
 Default 
3Maximum number of results to return
