Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI

Enhance chat responses on Bright Data by integrating real-time search data with Gemini AI. This automated workflow retrieves relevant information from Google, Bing, and Yandex, ensuring users receive accurate and timely answers. It leverages advanced AI capabilities to interpret queries and perform web searches, streamlining the process and improving user engagement.

7/8/2025
18 nodes
Complex
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Categories:
Complex WorkflowManual Triggered
Integrations:
LangChainMcpClientMcpClientToolSticky Note

Target Audience

  • Developers: Those looking to integrate real-time search capabilities into their applications.
    - Businesses: Organizations seeking to enhance customer interactions with AI-driven responses.
    - Data Analysts: Professionals who require up-to-date information from multiple search engines for analysis.
    - AI Enthusiasts: Individuals interested in exploring advanced AI functionalities using LangChain and MCP Client tools.
    - Marketers: Teams wanting to gather insights from search trends and user queries to inform marketing strategies.

    • Problem Solved

    This workflow addresses the challenge of providing accurate, real-time information in response to user queries by integrating multiple search engines (Google, Bing, Yandex) with AI capabilities. It automates the retrieval of relevant data and delivers it in a user-friendly format, enhancing the overall user experience and decision-making process.

    Workflow Steps

  • Trigger: The workflow is initiated when a chat message is received or when the user manually triggers the workflow.
    - AI Agent Processing: The AI Agent processes the input and determines the appropriate search tool to use based on the query.
    - Search Query Setup: A search query is set, typically defaulting to "Bright Data," but can be customized.
    - Tool Execution: The workflow executes the relevant MCP Client tool (Google, Bing, or Yandex) to perform the search operation based on the user query.
    - Response Handling: The search results are formatted and returned to the chat interface, and a webhook notification is sent with the results.
    - Memory Storage: The workflow utilizes a simple memory node to maintain context and improve response accuracy in ongoing conversations.

    • Customization Guide

  • Change Search Query: Modify the search_query value in the Set search query node to adapt the search focus.
    - Select Search Engine: Adjust the parameters in the MCP Client tool nodes to prioritize a specific search engine (Google, Bing, or Yandex) based on user needs.
    - Webhook URL: Update the URL in the HTTP Request for Webhook Notification node to direct notifications to a different endpoint.
    - AI Agent Configuration: Customize the systemMessage in the AI Agent node to alter the assistant's behavior or tone.
    - Add Additional Tools: Integrate more MCP Client tools by adding new nodes and connecting them to the workflow as needed.

    • Enhance Chat Responses with Real-Time Search Data via Bright Data & Gemini AI - N8N Workflow Directory