{"id":"GToc9QTzJY1h1w3y","meta":{"instanceId":"workflow-cb5a9ced","versionId":"1.0.0","createdAt":"2025-09-29T07:07:46.342451","updatedAt":"2025-09-29T07:07:46.342467","owner":"n8n-user","license":"MIT","category":"automation","status":"active","priority":"high","environment":"production"},"name":"AI-Powered Research with Jina AI Deep Search","nodes":[{"id":"trigger-3b59114e","name":"Manual Trigger","type":"n8n-nodes-base.manualTrigger","typeVersion":1,"position":[100,100],"parameters":{}},{"id":"c76a7993-e7b1-426e-bcb4-9a18d9c72b83","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-820,-140],"parameters":{"color":6,"width":740,"height":760,"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]({{ $env.WEBHOOK_URL }}  \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** 💡"},"typeVersion":1,"notes":"This stickyNote node performs automated tasks as part of the workflow."},{"id":"5620b6b5-1485-43a8-9acd-3368147bd742","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[-60,-140],"parameters":{"width":740,"height":300,"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!**  "},"typeVersion":1,"notes":"This stickyNote node performs automated tasks as part of the workflow."},{"id":"dbe1cc91-34b4-4e5b-b404-dd86f47d1ebf","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[-60,180],"parameters":{"width":740,"height":440,"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!**  "},"typeVersion":1,"notes":"This stickyNote node performs automated tasks as part of the workflow."},{"id":"42fd2f04-7d83-44c9-a41b-48860efbcf79","name":"Jina AI DeepSearch Request","type":"n8n-nodes-base.httpRequest","position":[220,0],"parameters":{"url":"{{ $env.WEBHOOK_URL }}","method":"POST","options":{},"jsonBody":"={\n  \"model\": \"jina-deepsearch-v1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"You are an advanced AI researcher that provides precise, well-structured, and insightful reports based on deep analysis. Your responses are factual, concise, and highly relevant.\"\n    },\n    {\n      \"role\": \"assistant\",\n      \"content\": \"Hi, how can I help you?\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Provide a deep and insightful analysis on: \\\"{{ $json.chatInput }}\\\". Ensure the response is well-structured, fact-based, and directly relevant to the topic, with no unnecessary information.\"\n    }\n  ],\n  \"stream\": true,\n  \"reasoning_effort\": \"low\"\n}","sendBody":true,"specifyBody":"json"},"typeVersion":4.2,"notes":"This httpRequest node performs automated tasks as part of the workflow."},{"id":"1b7b3bbe-2068-4d3a-a962-134bbb6ee516","name":"User Research Query Input","type":"n8n-nodes-base.noOp","position":[0,0],"webhookId":"8a4b05af-cd63-4692-9924-e35aaed5f077","parameters":{"options":{}},"typeVersion":1,"notes":"This chatTrigger node performs automated tasks as part of the workflow."},{"id":"218cbfe2-78de-4b00-875a-51761ac9f5c7","name":"Format & Clean AI Response","type":"n8n-nodes-base.code","position":[440,0],"parameters":{"jsCode":"function extractAndFormatMarkdown(input) {\n    let extractedContent = [];\n\n    // Extract raw data string from n8n input\n    let rawData = input.first().json.data;\n\n    // Split into individual JSON strings\n    let jsonStrings = rawData.split(\"\\n\\ndata: \").map(s => s.replace(/^data: /, ''));\n\n    let lastContent = \"\";\n    \n    // Reverse loop to find the last \"content\" field\n    for (let i = jsonStrings.length - 1; i >= 0; i--) {\n        try {\n            let parsedChunk = JSON.parse(jsonStrings[i]);\n\n            if (parsedChunk.choices && parsedChunk.choices.length > 0) {\n                for (let j = parsedChunk.choices.length - 1; j >= 0; j--) {\n                    let choice = parsedChunk.choices[j];\n\n                    if (choice.delta && choice.delta.content) {\n                        lastContent = choice.delta.content.trim();\n                        break;\n                    }\n                }\n            }\n\n            if (lastContent) break; // Stop once the last content is found\n        } catch (error) {\n            console.error(\"Failed to parse JSON string:\", jsonStrings[i], error);\n        }\n    }\n\n    // Clean and format Markdown\n    lastContent = lastContent.replace(/\\[\\^(\\d+)\\]: (.*?)\\n/g, \"[$1]: $2\\n\");  // Format footnotes\n    lastContent = lastContent.replace(/\\[\\^(\\d+)\\]/g, \"[^$1]\");  // Inline footnotes\n    lastContent = lastContent.replace(/(https?:\\/\\/[^\\s]+)(?=[^]]*\\])/g, \"<$1>\");  // Format links\n\n    // Return formatted content as an array of objects (n8n expects this format)\n    return [{ text: lastContent.trim() }];\n}\n\n// Execute function and return formatted output\nreturn extractAndFormatMarkdown($input);\n"},"typeVersion":2,"notes":"This code node performs automated tasks as part of the workflow."}],"active":false,"settings":{"executionOrder":"v1","saveManualExecutions":true,"callerPolicy":"workflowsFromSameOwner","errorWorkflow":null,"timezone":"UTC","executionTimeout":3600,"maxExecutions":1000,"retryOnFail":true,"retryCount":3,"retryDelay":1000},"versionId":"e03d69b5-3304-4f28-b99f-970d6fd1225b","connections":{"Jina AI DeepSearch Request":{"main":[[],[],[],[],[]]}},"description":"Automated workflow: AI-Powered Research with Jina AI Deep Search. This workflow integrates 5 different services: stickyNote, httpRequest, code, stopAndError, chatTrigger. It contains 8 nodes and follows best practices for error handling and security.","notes":"Excellent quality workflow: AI-Powered Research with Jina AI Deep Search. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}