Open Deep Research - AI-Powered Autonomous Research Workflow
Automate in-depth research, accelerate information gathering, and gain comprehensive insights with AI-powered search, analysis, and structured reporting.
This workflow automates deep research by leveraging AI-driven search queries, web scraping, content analysis, and structured reporting, enabling efficient information collection and summarization.
Documentation
Open Deep Research - AI-Powered Autonomous Research Workflow
- n8n templates | By Leonard
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
🔹 User Input
The user submits a research topic via a chat message.
🧠 AI Query Generation
A Basic LLM generates up to four refined search queries to retrieve relevant information.
🔎 SERPAPI Google Search
The workflow loops through each generated query and retrieves top search results using the SerpAPI API.
📄 Jina AI Web Scraping
Extracts and summarizes webpage content from the URLs obtained via SerpAPI.
📊 AI-Powered Content Evaluation
An AI Agent evaluates the relevance and credibility of the extracted content.
🔁 Iterative Search Refinement
If the AI finds insufficient or low-quality information, it generates new search queries to improve results.
📜 Final Report Generation
The AI compiles a structured markdown report, including sources with citations.
🎯 Ideal for:
✔️ Researchers & Analysts - Automate background research
✔️ Journalists - Quickly gather reliable sources
✔️ Developers - Learn how to integrate multiple AI APIs into n8n
✔️ Students - Speed up literature reviews
🔗 Completely free and open-source! 🚀
