Open Deep Research - AI-Powered Autonomous Research Workflow

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

🔹 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.

Set Up Instructions
🚀 Estimated setup time: ~10-15 minutes

✅ Required API Keys:**
SerpAPI → For Google Search results
Jina AI → For text extraction
OpenRouter → For AI-driven query generation and summarization

⚙️ 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

📝 Recommended Enhancements:**
Add sticky notes in n8n to explain each step for new users
Implement Google Drive or Notion Integration to save reports automatically

🎯 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! 🚀