{ "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", "tags": [ "automation", "n8n", "production-ready", "excellent", "optimized" ], "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": 1.1, "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, "pinData": {}, "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": { "42fd2f04-7d83-44c9-a41b-48860efbcf79": { "main": [ [ { "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79", "type": "main", "index": 0 } ], [ { "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-3dde4773", "type": "main", "index": 0 } ], [ { "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-4c0376e1", "type": "main", "index": 0 } ], [ { "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-91267ec4", "type": "main", "index": 0 } ], [ { "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-d1b5f279", "type": "main", "index": 0 } ] ] } }, "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." }