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AI Agent Web Search using SearchAPI & LLM

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Created by: Pedro Santos || dapedu

Pedro Santos

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Last update 2 months ago

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🤖 AI Agent Web Search using SearchApi & LLM

Who is this for?

This workflow is ideal for anyone conducting online research, including students, researchers, content creators, and professionals looking for accurate, up-to-date, and verifiable information. It also serves as an excellent foundation for building more sophisticated AI-driven applications.

What problem does this workflow solve? / Use case

This workflow automates web searches by enabling an AI agent to efficiently retrieve and summarize external, verifiable information, ensuring accuracy through source citations.

What this workflow does

  • Connects an AI agent node to SearchApi.io as an integrated search tool.
  • Empowers the AI agent to perform real-time web searches using various SearchApi engines (e.g., Google, Bing).
  • Allows the AI agent to dynamically determine search parameters based on user interaction, delivering contextually relevant results.
  • Ensures responses include clearly cited sources for validation and further exploration.

Setup

  1. Install the SearchApi community node:

    • Open Settings → Community Nodes inside your self‑hosted n8n instance.
    • Fill npm Package Name with @searchapi/n8n-nodes-searchapi.
    • Accept the risk prompt, and hit Install.
    • It should now appear as a node when you search for it.

  2. API Configuration:

    • Set up your SearchApi.io credentials in n8n.
    • Add your preferred LLM provider credentials (e.g., OpenRouter API).

  3. Input Requirements:

    • Provide the YouTube video ID (e.g., wBuULAoJxok).

  4. Connect LLM Integration:

    • Configure the summarization chain with your chosen model and parameters for text splitting.

How to customize this workflow to your needs

  • Integrate additional nodes to structure or store search results (e.g., saving to databases, Notion, Google Sheets).
  • Extend chatbot capabilities to integrate with messaging platforms (Slack, Discord) or email notifications.
  • Adjust search parameters and filters within the AI agent node to tailor information retrieval.

Example Usage

  • Input: User asks, "What are the latest developments in AI regulation?"
  • Output: AI retrieves, summarizes, and cites recent, authoritative articles and news sources from the web.