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News research and sentiment analysis AI agent with Gemini and SearXNG

Mihai FarcasMihai Farcas
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2/3/2026
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This n8n workflow operates as a two-agent system where each agent has a specialized task. The process flows from initial user input to a final analysis, with a seamless handoff between the agents.

How it works

  1. The Chat Trigger The entire process begins when you send a message using n8n's chat interface. This message serves as the initial prompt or query for the system.

  2. The Research Agent Takes Over The user's message is first sent to the Research Agent. This agent's job is to understand the query and gather relevant information. To do this, it has access to:

    • LLM: Google Gemini, which acts as the agent's "brain" to process language and make decisions. Tools:
    • web_search: It uses this tool (powered by your self-hosted SearXNG instance) to perform live searches on the internet.
    • get_current_date: It can access the current date, which is useful for context-aware or time-sensitive research.

    The Research Agent uses these tools to find the most relevant information related to your query and then compiles it into a concise summary.

  3. Handoff to the Sentiment Analysis Agent Once the Research Agent has completed its task, it passes its findings directly to the Sentiment Analysis Agent.

  4. The Final Analysis The Sentiment Analysis Agent receives the text from the Research Agent. Its sole purpose, as defined by its system prompt, is to analyze the sentiment of the provided information. It determines if the content is positive, negative, or neutral and formulates a final response.

This final analysis is then sent back to you in the chat, completing the workflow.

Set up steps

  1. Select the Language Model (LLM): This workflow is pre-configured with Google Gemini. You can select a different model for the agents as needed.
  2. Configure LLM Credentials: Ensure that valid credentials for your chosen LLM are correctly set up within your n8n instance.
  3. Set Up the SearXNG Connection: Configure the node to connect to your self-hosted SearXNG instance. This enables the agent's web search capabilities.
  4. Define the Research Agent's Task: Customize the system prompt for the "Research Agent" to define its role, instructions, and how it should conduct its research.
  5. Define the Sentiment Analysis Agent's Task: Adjust the system prompt for the "Sentiment Analysis Agent" to specify how it should analyze the information provided by the Research Agent.
  6. Test the Workflow: Use the built-in chat interface in the n8n canvas to send a message and verify that the agents are functioning correctly.

AI Agent for News Research and Sentiment Analysis with Gemini and SearXNG

This n8n workflow provides an AI-powered agent designed to perform news research and sentiment analysis using Google Gemini and SearXNG. It acts as a conversational agent, allowing users to interact with it via chat to get insights on various topics.

What it does

This workflow automates the following steps:

  1. Listens for Chat Messages: The workflow is triggered by an incoming chat message, acting as a conversational interface.
  2. Initializes an AI Agent: It sets up an AI Agent that can understand and respond to user queries.
  3. Integrates Google Gemini: The AI Agent uses the Google Gemini Chat Model for its language understanding and generation capabilities.
  4. Utilizes SearXNG for Research: It incorporates SearXNG as a tool, allowing the AI Agent to perform web searches for news and information.
  5. Performs Research and Analysis: Based on the user's chat message, the AI Agent leverages Gemini and SearXNG to research topics and potentially perform sentiment analysis or summarize findings.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Google Gemini API Key: Credentials for the Google Gemini Chat Model to enable AI capabilities.
  • SearXNG Instance (Optional but Recommended): Access to a SearXNG instance for web search capabilities. While the node is included, you'll need to configure its endpoint if not using a public one or running your own.
  • Chat Platform Integration: The "When chat message received" trigger implies integration with a chat platform (e.g., Slack, Telegram, Discord, etc.) where n8n has been set up to receive messages.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Gemini Chat Model: Configure your Google Gemini credentials in the "Google Gemini Chat Model" node.
    • SearXNG: If you have a private or specific SearXNG instance, configure its URL in the "SearXNG" tool node.
  3. Activate the Workflow: Enable the workflow in n8n.
  4. Interact via Chat: Send a chat message to your configured chat platform (e.g., "Research the latest news on renewable energy and summarize the sentiment.", "Find out about recent advancements in AI."). The AI Agent will process your request and respond in the chat.

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