Open Deep Research - AI-Powered Autonomous Research Workflow Description This workflow automates deep research by leveraging AI-driven search queries, web scraping, content analysis, and structured reporting. It enables autonomous research with iterative refinement, allowing users to collect, analyze, and summarize high-quality information efficiently. How it works 1. πΉ User Input - The user submits a research topic via a chat message. 2. π§ AI Query Generation - A Basic LLM generates up t

Open Deep Research - AI-Powered Autonomous Research Workflow Description This workflow automates deep research by leveraging AI-driven search queries, web scraping, content analysis, and structured reporting. It enables autonomous research with iterative refinement, allowing users to collect, analyze, and summarize high-quality information efficiently. How it works 1. πΉ User Input - The user submits a research topic via a chat message. 2. π§ AI Query Generation - A Basic LLM generates up to four refined search queries to retrieve relevant information. 3. π SERPAPI Google Search - The workflow loops through each generated query and retrieves top search results using the SerpAPI API. 4. π Jina AI Web Scraping - Extracts and summarizes webpage content from the URLs obtained via SerpAPI. 5. π AI-Powered Content Evaluation - An AI Agent evaluates the relevance and credibility of the extracted content. 6. π Iterative Search Refinement - If the AI finds insufficient or low-quality information, it generates new search queries to improve results. 7. π Final Report Generation - The AI compiles a structured markdown report, including sources with citations. Set Up Instructions π Estimated setup time: 10-15 minutes - β Required API Keys: - SerpAPI β For Google Search results - Jina AI β For text extraction - OpenRouter β For AI-driven query generation and summarization - βοΈ n8n Components Used: - AI Agents with memory buffering for iterative research - Loops to process multiple search queries efficiently - HTTP Requests for direct API interactions with SerpAPI and Jina AI - π Recommended Enhancements: - Add sticky notes in n8n to explain each step for new users - Implement Google Drive or Notion Integration to save reports automatically --- π― Ideal for: βοΈ Researchers & Analysts - Automate background research βοΈ Journalists - Quickly gather reliable sources βοΈ Developers - Learn how to integrate multiple AI APIs into n8n βοΈ Students - Speed up literature reviews π Completely free and open-source! π
Download the workflow JSON file after purchase.
Open n8n β click the menu β Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
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