Open Deep Research - AI-Powered Autonomous Research Workflow
Open Deep Research - AI-Powered Autonomous Research Workflow
Description
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 πΉ User Input The user submits a research topic via a chat message. π§ AI Query Generation A Basic LLM generates up to four refined search queries to retrieve relevant information. π SERPAPI Google Search The workflow loops through each generated query and retrieves top search results using the SerpAPI API. π Jina AI Web Scraping Extracts and summarizes webpage content from the URLs obtained via SerpAPI. π AI-Powered Content Evaluation An AI Agent evaluates the relevance and credibility of the extracted content. π Iterative Search Refinement If the AI finds insufficient or low-quality information, it generates new search queries to improve results. 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. An n8n automation workflow template by Leonard.
Community Metrics
Author
Leonard
Platform
web
Pricing model
free
Categories
- Automation
- AI
Tags
- n8n
- workflow
- http-request
- code
- ai-agent
- basic-llm-chain
- simple-memory
- wikipedia
Capabilities
- 6 nodes
- 21,345 views