This advanced n8n workflow automates the process of conducting comprehensive online research based on user queries. It starts with a trigger when a user message is received, then generates multiple sophisticated search queries tailored to the user’s intent using the Gemini 2.0 Flash language model. The workflow performs web searches via Google API, analyzes the results for relevant sources, and extracts key information. Throughout the process, it maintains a conversation context in Redis, enabling iterative research loops to refine findings. It also identifies knowledge gaps, generates follow-up queries, and synthesizes a well-structured final report with citations. This setup is ideal for scenarios requiring deep, AI-driven online research and summarization, such as academic support, market analysis, or technical investigations.

Node Count	>20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, httpRequest, if, merge, redis, set, splitOut, stickyNote