AI Agent Web Search using SearchAPI & LLM

🤖 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.