homelab: sync post-migration repo and n8n runtime audit

n8n-workflows/09-class-transcript-ingest-v1.1.json

@@ -1,5 +1,11 @@
 {
+  "updatedAt": "2026-05-22T21:55:33.626Z",
+  "createdAt": "2026-05-10T02:04:47.115Z",
+  "id": "sg7nRrhim0omh8oQ",
   "name": "Class Transcript Ingest v1.1",
+  "description": null,
+  "active": true,
+  "isArchived": false,
   "nodes": [
     {
       "parameters": {
@@ -8,13 +14,13 @@
         "responseMode": "responseNode",
         "options": {}
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000001",
+      "id": "050e1ebb-161f-45a9-8059-35ed79b66adc",
       "name": "Class Ingest Webhook",
       "type": "n8n-nodes-base.webhook",
       "typeVersion": 2,
       "position": [
-        0,
-        0
+        -224,
+        208
       ],
       "webhookId": "class-ingest-rocinante-v1"
     },
@@ -24,26 +30,26 @@
         "responseBody": "={ \"status\": \"accepted\" }",
         "options": {}
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000002",
+      "id": "5f7bdb15-59bf-45f3-a649-e822cf67a375",
       "name": "Respond Accepted",
       "type": "n8n-nodes-base.respondToWebhook",
       "typeVersion": 1,
       "position": [
-        224,
-        -200
+        0,
+        0
       ]
     },
     {
       "parameters": {
         "jsCode": "const body = $input.first().json.body || $input.first().json;\n\nconst className    = body.class_name    || 'unclassified';\nconst lectureTitle = body.lecture_title || 'Untitled Lecture';\nconst fullText     = body.transcript    || '';\nconst timestampedText = body.timestamped_transcript || fullText;\nconst durationMinutes = Math.round((body.duration_seconds || 0) / 60);\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n  json: {\n    className,\n    classSlug,\n    lectureTitle,\n    fullText,\n    timestampedText,\n    durationMinutes\n  }\n}];"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000003",
+      "id": "2735cdda-dfd5-4673-b9e6-e31cc2887e8f",
       "name": "Extract Class Info",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        224,
-        0
+        0,
+        208
       ]
     },
     {
@@ -59,7 +65,7 @@
             },
             {
               "name": "Authorization",
-              "value": "={{'Bearer ' + $env.LITELLM_API_KEY}}"
+              "value": "=Bearer {{ $env.LITELLM_API_KEY }}"
             }
           ]
         },
@@ -68,39 +74,39 @@
         "jsonBody": "={\n  \"model\": \"medium\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are an academic note-taking assistant. Given a class lecture transcription, provide:\\n1. A concise summary (3-5 sentences)\\n2. Key concepts covered (as a list)\\n3. Important definitions or formulas\\n4. Any assignments or deadlines mentioned\\n\\nRespond in JSON with keys: summary, key_concepts (array), definitions (array of {term, definition}), assignments (array)\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Class: {{ $json.className }}\\nLecture: {{ $json.lectureTitle }}\\n\\nTranscription (first 4000 chars):\\n{{ $json.fullText.substring(0, 4000) }}\"\n    }\n  ],\n  \"max_tokens\": 600,\n  \"temperature\": 0.2,\n  \"response_format\": { \"type\": \"json_object\" }\n}",
         "options": {}
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000004",
+      "id": "2b504d0a-608a-43b3-986d-38611bf09184",
       "name": "AI Extract Notes",
       "type": "n8n-nodes-base.httpRequest",
       "typeVersion": 4.2,
       "position": [
-        448,
-        0
+        224,
+        208
       ]
     },
     {
       "parameters": {
         "jsCode": "const llmResponse   = $input.first().json;\nconst classInfo     = $('Extract Class Info').first().json;\n\nlet notes;\ntry {\n  notes = JSON.parse(llmResponse.choices?.[0]?.message?.content || '{}');\n} catch(e) {\n  notes = { summary: 'Could not parse notes', key_concepts: [], definitions: [], assignments: [] };\n}\n\nconst ragText = [\n  `Class: ${classInfo.className}`,\n  `Lecture: ${classInfo.lectureTitle}`,\n  `Duration: ${classInfo.durationMinutes} minutes`,\n  `Summary: ${notes.summary}`,\n  `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n  '',\n  'Full Transcript:',\n  classInfo.fullText\n].join('\\n');\n\nreturn [{\n  json: {\n    className:       classInfo.className,\n    classSlug:       classInfo.classSlug,\n    lectureTitle:    classInfo.lectureTitle,\n    durationMinutes: classInfo.durationMinutes,\n    fullText:        classInfo.fullText,\n    notes,\n    ragText,\n    source: `class-${classInfo.classSlug}-${Date.now()}`,\n    metadata: {\n      class_name:       classInfo.className,\n      class_slug:       classInfo.classSlug,\n      lecture_title:    classInfo.lectureTitle,\n      duration_minutes: classInfo.durationMinutes,\n      type:             'class_recording',\n      recorded_at:      new Date().toISOString()\n    }\n  }\n}];"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000005",
+      "id": "eabc3cef-6005-4f13-a738-f5144dd887bd",
       "name": "Prepare for RAG",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        672,
-        0
+        448,
+        208
       ]
     },
     {
       "parameters": {
         "jsCode": "const input    = $input.first().json;\nconst text     = input.ragText || '';\nconst source   = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 400;\nconst MAX_CHUNK  = 600;\nconst OVERLAP    = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n  // If a single sentence exceeds MAX_CHUNK, split it by words first\n  const parts = [];\n  if (sentence.length > MAX_CHUNK) {\n    const words = sentence.split(' ');\n    let part = '';\n    for (const word of words) {\n      if ((part + ' ' + word).length > CHUNK_SIZE && part.length > 0) {\n        parts.push(part.trim());\n        part = word;\n      } else {\n        part = part ? part + ' ' + word : word;\n      }\n    }\n    if (part.trim()) parts.push(part.trim());\n  } else {\n    parts.push(sentence);\n  }\n\n  for (const part of parts) {\n    if ((current + ' ' + part).length > CHUNK_SIZE && current.length > 0) {\n      chunks.push(current.trim());\n      const words = current.split(' ');\n      current = words.slice(-OVERLAP).join(' ') + ' ' + part;\n    } else {\n      current = current ? current + ' ' + part : part;\n    }\n  }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n  json: { chunk, chunkIndex: i, totalChunks: chunks.length, source, metadata }\n}));"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000006",
+      "id": "27e49a3d-1e3d-4915-973c-f9fead428abf",
       "name": "Chunk Text",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        896,
-        0
+        672,
+        208
       ]
     },
     {
@@ -128,26 +134,26 @@
           }
         }
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000007",
+      "id": "edad418d-f4cc-4c45-a47f-dfa056436f04",
       "name": "Get Embedding",
       "type": "n8n-nodes-base.httpRequest",
       "typeVersion": 4.2,
       "position": [
-        1120,
-        0
+        896,
+        208
       ]
     },
     {
       "parameters": {
         "jsCode": "const embeddingResponse = $input.first().json;\nconst chunkData         = $('Chunk Text').item;\nconst embedding         = embeddingResponse.data?.[0]?.embedding || [];\n\nconst pointId = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {\n  const r = Math.random() * 16 | 0;\n  return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);\n});\n\nreturn [{\n  json: {\n    id: pointId,\n    vector: embedding,\n    payload: {\n      text:        chunkData.json.chunk,\n      source:      chunkData.json.source,\n      chunkIndex:  chunkData.json.chunkIndex,\n      totalChunks: chunkData.json.totalChunks,\n      metadata:    chunkData.json.metadata,\n      ingested_at: new Date().toISOString()\n    }\n  }\n}];"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000008",
+      "id": "d2ffc045-043c-4292-aeb3-1ef4cf7d98aa",
       "name": "Prepare Qdrant Point",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        1344,
-        0
+        1120,
+        208
       ]
     },
     {
@@ -168,26 +174,26 @@
         "jsonBody": "={\n  \"points\": [\n    {\n      \"id\": \"{{ $json.id }}\",\n      \"vector\": {{ JSON.stringify($json.vector) }},\n      \"payload\": {{ JSON.stringify($json.payload) }}\n    }\n  ]\n}",
         "options": {}
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000009",
+      "id": "18790ae4-91e9-4b0f-b7f8-7d6a2e3e53f6",
       "name": "Upsert to Qdrant",
       "type": "n8n-nodes-base.httpRequest",
       "typeVersion": 4.2,
       "position": [
-        1568,
-        0
+        1344,
+        208
       ]
     },
     {
       "parameters": {
-        "jsCode": "const rag = $('Prepare for RAG').first().json;\nreturn [{\n  json: {\n    title:    `\ud83c\udf93 ${rag.className} Lecture Processed`,\n    message:  `${rag.lectureTitle} (${rag.durationMinutes}min)\\nSummary: ${rag.notes.summary}\\nKey concepts: ${(rag.notes.key_concepts || []).slice(0, 5).join(', ')}`,\n    priority: 5\n  }\n}];"
+        "jsCode": "const rag = $('Prepare for RAG').first().json;\nreturn [{\n  json: {\n    title:    `🎓 ${rag.className} Lecture Processed`,\n    message:  `${rag.lectureTitle} (${rag.durationMinutes}min)\\nSummary: ${rag.notes.summary}\\nKey concepts: ${(rag.notes.key_concepts || []).slice(0, 5).join(', ')}`,\n    priority: 5\n  }\n}];"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000010",
+      "id": "41fb5e91-ba0d-402e-b23f-85707e5b1890",
       "name": "Format Gotify Message",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        1552,
-        -200
+        1328,
+        0
       ]
     },
     {
@@ -201,32 +207,32 @@
           "contentType": "text/plain"
         }
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000011",
+      "id": "714c0cc6-8023-4988-9e4a-60719263615f",
       "name": "Notify via Gotify",
       "type": "n8n-nodes-base.gotify",
       "typeVersion": 1,
       "position": [
-        1776,
-        -200
+        1552,
+        0
       ],
       "credentials": {
         "gotifyApi": {
-          "id": "SETUP_REQUIRED",
-          "name": "Class Recordings"
+          "id": "MzvuWWDoIzIBNW5k",
+          "name": "Whisper"
         }
       }
     },
     {
       "parameters": {
-        "jsCode": "const rag   = $('Prepare for RAG').first().json;\nconst notes = rag.notes || {};\nconst concepts = (notes.key_concepts || []).map((c,i) => `${i+1}. ${c}`).join('\\n');\nconst defList  = notes.definitions || [];\nconst defs     = Array.isArray(defList)\n  ? defList.map(d => `${d.term}: ${d.definition}`).join('\\n')\n  : Object.entries(defList).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\n\nconst content = [\n  `Lecture Notes: ${rag.lectureTitle}`,\n  `Class: ${rag.className}`,\n  `Duration: ${rag.durationMinutes} minutes`,\n  `Date: ${new Date().toISOString()}`, '',\n  `Summary`, `=======`, notes.summary || '', '',\n  `Key Concepts`, `=============`, concepts,\n  ...(defs         ? ['', `Definitions`,  `===========`, defs]        : []),\n  ...(assignments  ? ['', `Assignments`,  `===========`, assignments] : []),\n  '', `Full Transcript`, `================`, rag.fullText || '',\n].join('\\n');\n\nconst title = `${rag.className} \u2014 ${rag.lectureTitle}`;\nreturn [{\n  binary: {\n    document: {\n      data:     Buffer.from(content, 'utf-8').toString('base64'),\n      mimeType: 'text/plain',\n      fileName: `${title}.txt`\n    }\n  },\n  json: { title, className: rag.className }\n}];"
+        "jsCode": "const rag   = $('Prepare for RAG').first().json;\nconst notes = rag.notes || {};\nconst concepts = (notes.key_concepts || []).map((c,i) => `${i+1}. ${c}`).join('\\n');\nconst defList  = notes.definitions || [];\nconst defs     = Array.isArray(defList)\n  ? defList.map(d => `${d.term}: ${d.definition}`).join('\\n')\n  : Object.entries(defList).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\n\nconst content = [\n  `Lecture Notes: ${rag.lectureTitle}`,\n  `Class: ${rag.className}`,\n  `Duration: ${rag.durationMinutes} minutes`,\n  `Date: ${new Date().toISOString()}`, '',\n  `Summary`, `=======`, notes.summary || '', '',\n  `Key Concepts`, `=============`, concepts,\n  ...(defs         ? ['', `Definitions`,  `===========`, defs]        : []),\n  ...(assignments  ? ['', `Assignments`,  `===========`, assignments] : []),\n  '', `Full Transcript`, `================`, rag.fullText || '',\n].join('\\n');\n\nconst title = `${rag.className} — ${rag.lectureTitle}`;\nreturn [{\n  binary: {\n    document: {\n      data:     Buffer.from(content, 'utf-8').toString('base64'),\n      mimeType: 'text/plain',\n      fileName: `${title}.txt`\n    }\n  },\n  json: { title, className: rag.className }\n}];"
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000012",
+      "id": "ff1febf5-881b-47c8-b247-e11f94ca7c5c",
       "name": "Prepare Notes Doc",
       "type": "n8n-nodes-base.code",
       "typeVersion": 2,
       "position": [
-        1776,
-        200
+        1552,
+        400
       ]
     },
     {
@@ -269,13 +275,13 @@
           }
         }
       },
-      "id": "a1b2c3d4-0001-0001-0001-000000000013",
+      "id": "ed40f5a1-a165-40ec-adb1-9569884ab5bb",
       "name": "Save Notes to Paperless",
       "type": "n8n-nodes-base.httpRequest",
       "typeVersion": 4.2,
       "position": [
-        2000,
-        200
+        1776,
+        400
       ],
       "continueOnFail": true
     }
@@ -407,17 +413,481 @@
     "binaryMode": "separate"
   },
   "staticData": null,
-  "meta": null,
+  "meta": {
+    "templateCredsSetupCompleted": true
+  },
   "pinData": {},
+  "versionId": "93f547cc-ab08-4080-919f-1d24cb1936ec",
+  "activeVersionId": "93f547cc-ab08-4080-919f-1d24cb1936ec",
+  "versionCounter": 23,
+  "triggerCount": 1,
+  "shared": [
+    {
+      "updatedAt": "2026-05-10T02:04:47.115Z",
+      "createdAt": "2026-05-10T02:04:47.115Z",
+      "role": "workflow:owner",
+      "workflowId": "sg7nRrhim0omh8oQ",
+      "projectId": "dxCRnBdX5uJizCGa",
+      "project": {
+        "updatedAt": "2026-05-06T01:10:37.484Z",
+        "createdAt": "2026-05-06T01:08:07.721Z",
+        "id": "dxCRnBdX5uJizCGa",
+        "name": "Wilfred Fizzlepoof <admin@paccoco.com>",
+        "type": "personal",
+        "icon": null,
+        "description": null,
+        "creatorId": "47b2227f-2fc2-4a08-bd35-ea157b92df0d"
+      }
+    }
+  ],
   "tags": [
     {
-      "name": "school"
-    },
-    {
+      "updatedAt": "2026-05-06T22:39:33.284Z",
+      "createdAt": "2026-05-06T22:39:33.284Z",
+      "id": "7uuEyQrIlcuruZBk",
       "name": "rag"
     },
     {
+      "updatedAt": "2026-05-07T00:49:56.081Z",
+      "createdAt": "2026-05-07T00:49:56.081Z",
+      "id": "Q9lCYtCOuy9XmeyL",
+      "name": "school"
+    },
+    {
+      "updatedAt": "2026-05-06T22:38:51.678Z",
+      "createdAt": "2026-05-06T22:38:51.678Z",
+      "id": "S9FxzVfHLsHmyzyt",
       "name": "ai"
     }
-  ]
-}
+  ],
+  "activeVersion": {
+    "updatedAt": "2026-05-22T21:55:33.628Z",
+    "createdAt": "2026-05-22T21:55:33.628Z",
+    "versionId": "93f547cc-ab08-4080-919f-1d24cb1936ec",
+    "workflowId": "sg7nRrhim0omh8oQ",
+    "nodes": [
+      {
+        "parameters": {
+          "httpMethod": "POST",
+          "path": "class/ingest",
+          "responseMode": "responseNode",
+          "options": {}
+        },
+        "id": "050e1ebb-161f-45a9-8059-35ed79b66adc",
+        "name": "Class Ingest Webhook",
+        "type": "n8n-nodes-base.webhook",
+        "typeVersion": 2,
+        "position": [
+          -224,
+          208
+        ],
+        "webhookId": "class-ingest-rocinante-v1"
+      },
+      {
+        "parameters": {
+          "respondWith": "json",
+          "responseBody": "={ \"status\": \"accepted\" }",
+          "options": {}
+        },
+        "id": "5f7bdb15-59bf-45f3-a649-e822cf67a375",
+        "name": "Respond Accepted",
+        "type": "n8n-nodes-base.respondToWebhook",
+        "typeVersion": 1,
+        "position": [
+          0,
+          0
+        ]
+      },
+      {
+        "parameters": {
+          "jsCode": "const body = $input.first().json.body || $input.first().json;\n\nconst className    = body.class_name    || 'unclassified';\nconst lectureTitle = body.lecture_title || 'Untitled Lecture';\nconst fullText     = body.transcript    || '';\nconst timestampedText = body.timestamped_transcript || fullText;\nconst durationMinutes = Math.round((body.duration_seconds || 0) / 60);\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n  json: {\n    className,\n    classSlug,\n    lectureTitle,\n    fullText,\n    timestampedText,\n    durationMinutes\n  }\n}];"
+        },
+        "id": "2735cdda-dfd5-4673-b9e6-e31cc2887e8f",
+        "name": "Extract Class Info",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          0,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "method": "POST",
+          "url": "http://10.5.30.6:4000/v1/chat/completions",
+          "sendHeaders": true,
+          "headerParameters": {
+            "parameters": [
+              {
+                "name": "Content-Type",
+                "value": "application/json"
+              },
+              {
+                "name": "Authorization",
+                "value": "=Bearer {{ $env.LITELLM_API_KEY }}"
+              }
+            ]
+          },
+          "sendBody": true,
+          "specifyBody": "json",
+          "jsonBody": "={\n  \"model\": \"medium\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are an academic note-taking assistant. Given a class lecture transcription, provide:\\n1. A concise summary (3-5 sentences)\\n2. Key concepts covered (as a list)\\n3. Important definitions or formulas\\n4. Any assignments or deadlines mentioned\\n\\nRespond in JSON with keys: summary, key_concepts (array), definitions (array of {term, definition}), assignments (array)\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Class: {{ $json.className }}\\nLecture: {{ $json.lectureTitle }}\\n\\nTranscription (first 4000 chars):\\n{{ $json.fullText.substring(0, 4000) }}\"\n    }\n  ],\n  \"max_tokens\": 600,\n  \"temperature\": 0.2,\n  \"response_format\": { \"type\": \"json_object\" }\n}",
+          "options": {}
+        },
+        "id": "2b504d0a-608a-43b3-986d-38611bf09184",
+        "name": "AI Extract Notes",
+        "type": "n8n-nodes-base.httpRequest",
+        "typeVersion": 4.2,
+        "position": [
+          224,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "jsCode": "const llmResponse   = $input.first().json;\nconst classInfo     = $('Extract Class Info').first().json;\n\nlet notes;\ntry {\n  notes = JSON.parse(llmResponse.choices?.[0]?.message?.content || '{}');\n} catch(e) {\n  notes = { summary: 'Could not parse notes', key_concepts: [], definitions: [], assignments: [] };\n}\n\nconst ragText = [\n  `Class: ${classInfo.className}`,\n  `Lecture: ${classInfo.lectureTitle}`,\n  `Duration: ${classInfo.durationMinutes} minutes`,\n  `Summary: ${notes.summary}`,\n  `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n  '',\n  'Full Transcript:',\n  classInfo.fullText\n].join('\\n');\n\nreturn [{\n  json: {\n    className:       classInfo.className,\n    classSlug:       classInfo.classSlug,\n    lectureTitle:    classInfo.lectureTitle,\n    durationMinutes: classInfo.durationMinutes,\n    fullText:        classInfo.fullText,\n    notes,\n    ragText,\n    source: `class-${classInfo.classSlug}-${Date.now()}`,\n    metadata: {\n      class_name:       classInfo.className,\n      class_slug:       classInfo.classSlug,\n      lecture_title:    classInfo.lectureTitle,\n      duration_minutes: classInfo.durationMinutes,\n      type:             'class_recording',\n      recorded_at:      new Date().toISOString()\n    }\n  }\n}];"
+        },
+        "id": "eabc3cef-6005-4f13-a738-f5144dd887bd",
+        "name": "Prepare for RAG",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          448,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "jsCode": "const input    = $input.first().json;\nconst text     = input.ragText || '';\nconst source   = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 400;\nconst MAX_CHUNK  = 600;\nconst OVERLAP    = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n  // If a single sentence exceeds MAX_CHUNK, split it by words first\n  const parts = [];\n  if (sentence.length > MAX_CHUNK) {\n    const words = sentence.split(' ');\n    let part = '';\n    for (const word of words) {\n      if ((part + ' ' + word).length > CHUNK_SIZE && part.length > 0) {\n        parts.push(part.trim());\n        part = word;\n      } else {\n        part = part ? part + ' ' + word : word;\n      }\n    }\n    if (part.trim()) parts.push(part.trim());\n  } else {\n    parts.push(sentence);\n  }\n\n  for (const part of parts) {\n    if ((current + ' ' + part).length > CHUNK_SIZE && current.length > 0) {\n      chunks.push(current.trim());\n      const words = current.split(' ');\n      current = words.slice(-OVERLAP).join(' ') + ' ' + part;\n    } else {\n      current = current ? current + ' ' + part : part;\n    }\n  }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n  json: { chunk, chunkIndex: i, totalChunks: chunks.length, source, metadata }\n}));"
+        },
+        "id": "27e49a3d-1e3d-4915-973c-f9fead428abf",
+        "name": "Chunk Text",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          672,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "method": "POST",
+          "url": "http://10.5.30.6:11434/v1/embeddings",
+          "sendHeaders": true,
+          "headerParameters": {
+            "parameters": [
+              {
+                "name": "Content-Type",
+                "value": "application/json"
+              }
+            ]
+          },
+          "sendBody": true,
+          "specifyBody": "json",
+          "jsonBody": "={\n  \"model\": \"nomic-embed-text\",\n  \"input\": {{ JSON.stringify($json.chunk) }}\n}",
+          "options": {
+            "batching": {
+              "batch": {
+                "batchSize": 5,
+                "batchInterval": 500
+              }
+            }
+          }
+        },
+        "id": "edad418d-f4cc-4c45-a47f-dfa056436f04",
+        "name": "Get Embedding",
+        "type": "n8n-nodes-base.httpRequest",
+        "typeVersion": 4.2,
+        "position": [
+          896,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "jsCode": "const embeddingResponse = $input.first().json;\nconst chunkData         = $('Chunk Text').item;\nconst embedding         = embeddingResponse.data?.[0]?.embedding || [];\n\nconst pointId = 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, c => {\n  const r = Math.random() * 16 | 0;\n  return (c === 'x' ? r : (r & 0x3 | 0x8)).toString(16);\n});\n\nreturn [{\n  json: {\n    id: pointId,\n    vector: embedding,\n    payload: {\n      text:        chunkData.json.chunk,\n      source:      chunkData.json.source,\n      chunkIndex:  chunkData.json.chunkIndex,\n      totalChunks: chunkData.json.totalChunks,\n      metadata:    chunkData.json.metadata,\n      ingested_at: new Date().toISOString()\n    }\n  }\n}];"
+        },
+        "id": "d2ffc045-043c-4292-aeb3-1ef4cf7d98aa",
+        "name": "Prepare Qdrant Point",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          1120,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "method": "PUT",
+          "url": "http://10.5.30.6:6333/collections/knowledge_base/points",
+          "sendHeaders": true,
+          "headerParameters": {
+            "parameters": [
+              {
+                "name": "Content-Type",
+                "value": "application/json"
+              }
+            ]
+          },
+          "sendBody": true,
+          "specifyBody": "json",
+          "jsonBody": "={\n  \"points\": [\n    {\n      \"id\": \"{{ $json.id }}\",\n      \"vector\": {{ JSON.stringify($json.vector) }},\n      \"payload\": {{ JSON.stringify($json.payload) }}\n    }\n  ]\n}",
+          "options": {}
+        },
+        "id": "18790ae4-91e9-4b0f-b7f8-7d6a2e3e53f6",
+        "name": "Upsert to Qdrant",
+        "type": "n8n-nodes-base.httpRequest",
+        "typeVersion": 4.2,
+        "position": [
+          1344,
+          208
+        ]
+      },
+      {
+        "parameters": {
+          "jsCode": "const rag = $('Prepare for RAG').first().json;\nreturn [{\n  json: {\n    title:    `🎓 ${rag.className} Lecture Processed`,\n    message:  `${rag.lectureTitle} (${rag.durationMinutes}min)\\nSummary: ${rag.notes.summary}\\nKey concepts: ${(rag.notes.key_concepts || []).slice(0, 5).join(', ')}`,\n    priority: 5\n  }\n}];"
+        },
+        "id": "41fb5e91-ba0d-402e-b23f-85707e5b1890",
+        "name": "Format Gotify Message",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          1328,
+          0
+        ]
+      },
+      {
+        "parameters": {
+          "message": "={{ $json.message }}",
+          "additionalFields": {
+            "priority": "={{ $json.priority }}",
+            "title": "={{ $json.title }}"
+          },
+          "options": {
+            "contentType": "text/plain"
+          }
+        },
+        "id": "714c0cc6-8023-4988-9e4a-60719263615f",
+        "name": "Notify via Gotify",
+        "type": "n8n-nodes-base.gotify",
+        "typeVersion": 1,
+        "position": [
+          1552,
+          0
+        ],
+        "credentials": {
+          "gotifyApi": {
+            "id": "MzvuWWDoIzIBNW5k",
+            "name": "Whisper"
+          }
+        }
+      },
+      {
+        "parameters": {
+          "jsCode": "const rag   = $('Prepare for RAG').first().json;\nconst notes = rag.notes || {};\nconst concepts = (notes.key_concepts || []).map((c,i) => `${i+1}. ${c}`).join('\\n');\nconst defList  = notes.definitions || [];\nconst defs     = Array.isArray(defList)\n  ? defList.map(d => `${d.term}: ${d.definition}`).join('\\n')\n  : Object.entries(defList).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\n\nconst content = [\n  `Lecture Notes: ${rag.lectureTitle}`,\n  `Class: ${rag.className}`,\n  `Duration: ${rag.durationMinutes} minutes`,\n  `Date: ${new Date().toISOString()}`, '',\n  `Summary`, `=======`, notes.summary || '', '',\n  `Key Concepts`, `=============`, concepts,\n  ...(defs         ? ['', `Definitions`,  `===========`, defs]        : []),\n  ...(assignments  ? ['', `Assignments`,  `===========`, assignments] : []),\n  '', `Full Transcript`, `================`, rag.fullText || '',\n].join('\\n');\n\nconst title = `${rag.className} — ${rag.lectureTitle}`;\nreturn [{\n  binary: {\n    document: {\n      data:     Buffer.from(content, 'utf-8').toString('base64'),\n      mimeType: 'text/plain',\n      fileName: `${title}.txt`\n    }\n  },\n  json: { title, className: rag.className }\n}];"
+        },
+        "id": "ff1febf5-881b-47c8-b247-e11f94ca7c5c",
+        "name": "Prepare Notes Doc",
+        "type": "n8n-nodes-base.code",
+        "typeVersion": 2,
+        "position": [
+          1552,
+          400
+        ]
+      },
+      {
+        "parameters": {
+          "method": "POST",
+          "url": "https://paperless.paccoco.com/api/documents/post_document/",
+          "sendHeaders": true,
+          "headerParameters": {
+            "parameters": [
+              {
+                "name": "Authorization",
+                "value": "=Token {{ $env.PAPERLESS_API_TOKEN }}"
+              }
+            ]
+          },
+          "sendBody": true,
+          "contentType": "multipart-form-data",
+          "bodyParameters": {
+            "parameters": [
+              {
+                "parameterType": "formBinaryData",
+                "name": "document",
+                "inputDataFieldName": "document"
+              },
+              {
+                "name": "title",
+                "value": "={{ $json.title }}"
+              },
+              {
+                "name": "tags[]",
+                "value": "={{ $env.PAPERLESS_TAG_LECTURE_NOTES }}"
+              }
+            ]
+          },
+          "options": {
+            "response": {
+              "response": {
+                "responseFormat": "text"
+              }
+            }
+          }
+        },
+        "id": "ed40f5a1-a165-40ec-adb1-9569884ab5bb",
+        "name": "Save Notes to Paperless",
+        "type": "n8n-nodes-base.httpRequest",
+        "typeVersion": 4.2,
+        "position": [
+          1776,
+          400
+        ],
+        "continueOnFail": true
+      }
+    ],
+    "connections": {
+      "Class Ingest Webhook": {
+        "main": [
+          [
+            {
+              "node": "Extract Class Info",
+              "type": "main",
+              "index": 0
+            },
+            {
+              "node": "Respond Accepted",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Extract Class Info": {
+        "main": [
+          [
+            {
+              "node": "AI Extract Notes",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "AI Extract Notes": {
+        "main": [
+          [
+            {
+              "node": "Prepare for RAG",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Prepare for RAG": {
+        "main": [
+          [
+            {
+              "node": "Chunk Text",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Chunk Text": {
+        "main": [
+          [
+            {
+              "node": "Get Embedding",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Get Embedding": {
+        "main": [
+          [
+            {
+              "node": "Prepare Qdrant Point",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Prepare Qdrant Point": {
+        "main": [
+          [
+            {
+              "node": "Upsert to Qdrant",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Upsert to Qdrant": {
+        "main": [
+          [
+            {
+              "node": "Format Gotify Message",
+              "type": "main",
+              "index": 0
+            },
+            {
+              "node": "Prepare Notes Doc",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Format Gotify Message": {
+        "main": [
+          [
+            {
+              "node": "Notify via Gotify",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      },
+      "Prepare Notes Doc": {
+        "main": [
+          [
+            {
+              "node": "Save Notes to Paperless",
+              "type": "main",
+              "index": 0
+            }
+          ]
+        ]
+      }
+    },
+    "authors": "Wilfred Fizzlepoof",
+    "name": null,
+    "description": null,
+    "autosaved": false,
+    "workflowPublishHistory": [
+      {
+        "createdAt": "2026-05-22T21:55:33.659Z",
+        "id": 339,
+        "workflowId": "sg7nRrhim0omh8oQ",
+        "versionId": "93f547cc-ab08-4080-919f-1d24cb1936ec",
+        "event": "deactivated",
+        "userId": "47b2227f-2fc2-4a08-bd35-ea157b92df0d"
+      },
+      {
+        "createdAt": "2026-05-22T21:55:33.678Z",
+        "id": 340,
+        "workflowId": "sg7nRrhim0omh8oQ",
+        "versionId": "93f547cc-ab08-4080-919f-1d24cb1936ec",
+        "event": "activated",
+        "userId": "47b2227f-2fc2-4a08-bd35-ea157b92df0d"
+      }
+    ]
+  }
+}