Aktien-Sentiment-Analyse-Agent mit Gemini und Websuche

## 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.