Automatisation Jina AI avec n8n : recherche assistée par IA

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        "content": "\n# **🚀 Developed by Leonard van Hemert**  \n\nThank you for using **FREE: Open Deep Research 2.0**! 🎉  \n\nThis workflow was created to **democratize AI-powered research** and make advanced **automated knowledge discovery** available to **everyone**, without **API restrictions** or **cost barriers**.  \n\nIf you find this useful, feel free to **connect with me on LinkedIn** and stay updated on my latest AI & automation projects!  \n\n🔗 **Follow me on LinkedIn**: [Leonard van Hemert](https://www.linkedin.com/in/leonard-van-hemert/)  \n\nI truly appreciate the support from the **n8n community**, and I can’t wait to see how you use and improve this workflow! 🚀  \n\nHappy researching,  \n**Leonard van Hemert** 💡"
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        "content": "## 🚀 **FREE: Open Deep Research 2.0**  \nFully automated **AI-powered research workflow** using **Jina AI’s DeepSearch** to generate structured, fact-based reports—**no API key required!**  "
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        "content": "## 🧠 **How This Workflow Works**  \n\nThis workflow automates **deep research and report generation** using **Jina AI's DeepSearch API**, making **advanced knowledge discovery accessible for free**.  \n\n1️⃣ **User Input → AI Research**  \n- A user **enters a research query** via chat.  \n- The workflow **sends the query** to **Jina AI’s DeepSearch API** for **in-depth analysis**.  \n\n2️⃣ **AI-Powered Insights**  \n- DeepSearch **retrieves** and **analyzes** relevant information.  \n- The response includes **key insights, structured analysis, and sources**.  \n\n3️⃣ **Markdown Formatting & Cleanup**  \n- The response **passes through a Code Node** that extracts, cleans, and **formats** the AI-generated insights into **readable Markdown output**.  \n- URLs are properly formatted, footnotes are structured, and the report is easy to read.  \n\n4️⃣ **Final Output**  \n- The final, **well-structured research report** is ready for use, **fully automated and free of charge!**  "
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