AI-Powered Autonomous Research Workflow for Deep Insights

This n8n workflow automates complex research tasks by integrating AI and multiple APIs to gather, analyze, and generate comprehensive reports on user queries. It begins with a chat message trigger where a user submits a query. The workflow then utilizes a language model (LLM) to generate targeted search queries, which are systematically split into batches for search via SerpAPI. The search results are processed and formatted for relevance. Additional tools like Jina AI analyze the gathered data for deeper insights, while Wikipedia search enriches context. The data is chunked and stored in memory buffers to maintain context across steps. An LLM then extracts relevant information from the web content, culminating in a detailed, structured research report. This workflow is ideal for automated research, market analysis, or in-depth information gathering when handling complex or large datasets in an efficient, AI-driven manner.