{
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  "createdAt": "2026-05-10T02:04:29.809Z",
  "id": "g9JRtBA5lR0OAwVo",
  "name": "Class Recording → Transcribe → RAG",
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  "active": true,
  "isArchived": false,
  "nodes": [
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "class/upload",
        "responseMode": "lastNode",
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      "name": "Class Upload Webhook",
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      "name": "Extract Class Info",
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    {
      "parameters": {
        "method": "POST",
        "url": "http://10.5.30.7:8786/v1/audio/transcriptions",
        "sendHeaders": true,
        "headerParameters": {
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              "name": "file",
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      },
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      "position": [
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        0
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    {
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        "method": "POST",
        "url": "http://10.5.30.6:4000/v1/chat/completions",
        "sendHeaders": true,
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              "name": "Content-Type",
              "value": "application/json"
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              "name": "Authorization",
              "value": "={{ \"Bearer \" + $env.LITELLM_API_KEY }}"
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        },
        "sendBody": true,
        "specifyBody": "json",
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        "sendHeaders": true,
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              "batchInterval": 500
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      },
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      "name": "Prepare Qdrant Point",
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        "jsonBody": "={\n  \"points\": [\n    {\n      \"id\": \"{{ $json.id }}\",\n      \"vector\": {{ JSON.stringify($json.vector) }},\n      \"payload\": {{ JSON.stringify($json.payload) }}\n    }\n  ]\n}",
        "options": {}
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        "additionalFields": {
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          "title": "={{ $json.title }}"
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      "id": "dd07e577-2bed-4100-9b37-f79b8dd59db3",
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      "position": [
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        0
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        "gotifyApi": {
          "id": "MzvuWWDoIzIBNW5k",
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        "jsCode": "const rag = $('Prepare for RAG').first().json;\nconst notes = rag.notes || {};\nconst concepts = (notes.key_concepts || []).map((c,i) => `${i+1}. ${c}`).join('\\n');\nconst defs = Object.entries(notes.definitions || {}).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\nconst content = [\n  `Lecture Notes: ${rag.lectureTitle}`,\n  `Class: ${rag.className}`,\n  `Duration: ${rag.durationMinutes} minutes`,\n  `Date: ${new Date().toISOString()}`, '',\n  `Summary`, `=======`, notes.summary || '', '',\n  `Key Concepts`, `=============`, concepts,\n  ...(defs     ? ['', `Definitions`,    `===========`, defs]        : []),\n  ...(assignments ? ['', `Assignments`, `===========`, assignments] : []),\n].join('\\n');\nconst title = `${rag.className} — ${rag.lectureTitle}`;\nreturn [{ binary: { document: { data: Buffer.from(content,'utf-8').toString('base64'), mimeType:'text/plain', fileName:`${title}.txt` }}, json: { title, className: rag.className } }];\n"
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      ]
    },
    {
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        "method": "POST",
        "url": "https://paperless.paccoco.com/api/documents/post_document/",
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
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        "bodyParameters": {
          "parameters": [
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            {
              "name": "title",
              "value": "={{ $json.title }}"
            },
            {
              "name": "tags[]",
              "value": "${PAPERLESS_TAG_LECTURE_NOTES}"
            }
          ]
        },
        "options": {}
      },
      "id": "df288dd8-584b-476d-bbe0-a4fb9f55904e",
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      ],
      "continueOnFail": true
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            "node": "Extract Class Info",
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      {
        "parameters": {
          "jsCode": "const result = $input.first().json;\nconst classInfo = $('Extract Class Info').first().json;\n\nconst segments = result.segments || [];\nconst fullText = result.text || segments.map(s => s.text).join(' ');\nconst duration = result.duration || segments[segments.length - 1]?.end || 0;\n\nconst timestamped = segments.map(s => {\n  const mins = Math.floor(s.start / 60);\n  const secs = Math.floor(s.start % 60);\n  return `[${mins}:${String(secs).padStart(2, '0')}] ${s.text.trim()}`;\n}).join('\\n');\n\nreturn [{\n  json: {\n    className: classInfo.className,\n    classSlug: classInfo.classSlug,\n    lectureTitle: classInfo.lectureTitle,\n    fullText: fullText.trim(),\n    timestampedText: timestamped,\n    durationMinutes: Math.round(duration / 60),\n    segmentCount: segments.length\n  }\n}];"
        },
        "id": "d61a4f61-4934-46de-a334-2493c0617b7e",
        "name": "Format Transcript",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          672,
          0
        ]
      },
      {
        "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 3000 chars):\\n{{ $json.fullText.substring(0, 3000) }}\"\n    }\n  ],\n  \"max_tokens\": 600,\n  \"temperature\": 0.2,\n  \"response_format\": { \"type\": \"json_object\" }\n}",
          "options": {}
        },
        "id": "d61b60ea-3e3e-4776-a715-c042a0da574c",
        "name": "AI Extract Notes",
        "type": "n8n-nodes-base.httpRequest",
        "typeVersion": 4.2,
        "position": [
          880,
          0
        ]
      },
      {
        "parameters": {
          "jsCode": "const llmResponse = $input.first().json;\nconst transcriptData = $('Format Transcript').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: ${transcriptData.className}`,\n  `Lecture: ${transcriptData.lectureTitle}`,\n  `Duration: ${transcriptData.durationMinutes} minutes`,\n  `Summary: ${notes.summary}`,\n  `Key Concepts: ${(notes.key_concepts || []).join(', ')}`,\n  '',\n  'Full Transcript:',\n  transcriptData.fullText\n].join('\\n');\n\nreturn [{\n  json: {\n    className: transcriptData.className,\n    classSlug: transcriptData.classSlug,\n    lectureTitle: transcriptData.lectureTitle,\n    durationMinutes: transcriptData.durationMinutes,\n    notes,\n    ragText,\n    source: `class-${transcriptData.classSlug}-${Date.now()}`,\n    metadata: {\n      class_name: transcriptData.className,\n      class_slug: transcriptData.classSlug,\n      lecture_title: transcriptData.lectureTitle,\n      duration_minutes: transcriptData.durationMinutes,\n      type: 'class_recording',\n      recorded_at: new Date().toISOString()\n    }\n  }\n}];"
        },
        "id": "b89dc0d0-ae38-4056-b5d4-4ed1a01ca2d8",
        "name": "Prepare for RAG",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          1104,
          0
        ]
      },
      {
        "parameters": {
          "jsCode": "const input = $input.first().json;\nconst text = input.ragText || '';\nconst source = input.source;\nconst metadata = input.metadata;\n\nconst CHUNK_SIZE = 500;\nconst OVERLAP = 50;\n\nconst chunks = [];\nconst sentences = text.split(/(?<=[.!?])\\s+/);\nlet current = '';\n\nfor (const sentence of sentences) {\n  if ((current + ' ' + sentence).length > CHUNK_SIZE && current.length > 0) {\n    chunks.push(current.trim());\n    const words = current.split(' ');\n    current = words.slice(-OVERLAP).join(' ') + ' ' + sentence;\n  } else {\n    current = current ? current + ' ' + sentence : sentence;\n  }\n}\nif (current.trim()) chunks.push(current.trim());\n\nreturn chunks.map((chunk, i) => ({\n  json: {\n    chunk,\n    chunkIndex: i,\n    totalChunks: chunks.length,\n    source,\n    metadata\n  }\n}));"
        },
        "id": "0e2248b6-30fa-4e5b-8b41-61fda6864c8a",
        "name": "Chunk Text",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          1328,
          0
        ]
      },
      {
        "parameters": {
          "method": "POST",
          "url": "http://10.5.30.7:11434/v1/embeddings",
          "sendHeaders": true,
          "headerParameters": {
            "parameters": [
              {
                "name": "Content-Type",
                "value": "application/json"
              }
            ]
          },
          "sendBody": true,
          "specifyBody": "json",
          "jsonBody": "={{ ({ model: 'nomic-embed-text:v1.5', input: $json.chunk }) }}",
          "options": {
            "batching": {
              "batch": {
                "batchSize": 5,
                "batchInterval": 500
              }
            }
          }
        },
        "id": "eda997ea-bd9a-4698-ba71-09aa73b6b0cb",
        "name": "Get Embedding",
        "type": "n8n-nodes-base.httpRequest",
        "typeVersion": 4.2,
        "position": [
          1552,
          0
        ]
      },
      {
        "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": "fa0b1600-5e53-44cc-aea9-34bb30417a9d",
        "name": "Prepare Qdrant Point",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          1760,
          0
        ]
      },
      {
        "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": "df7ac34b-37a0-4492-8387-f30a43800ec7",
        "name": "Upsert to Qdrant",
        "type": "n8n-nodes-base.httpRequest",
        "typeVersion": 4.2,
        "position": [
          1904,
          -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": "17d050cb-4c6f-488c-835c-f0b5cb43df0f",
        "name": "Format Gotify Message",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          2208,
          0
        ]
      },
      {
        "parameters": {
          "message": "={{ $json.message }}",
          "additionalFields": {
            "priority": "={{ $json.priority }}",
            "title": "={{ $json.title }}"
          },
          "options": {
            "contentType": "text/plain"
          }
        },
        "id": "dd07e577-2bed-4100-9b37-f79b8dd59db3",
        "name": "Notify via Gotify",
        "type": "n8n-nodes-base.gotify",
        "typeVersion": 1,
        "position": [
          2448,
          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}. ${c}`).join('\\n');\nconst defs = Object.entries(notes.definitions || {}).map(([k,v]) => `${k}: ${v}`).join('\\n');\nconst assignments = (notes.assignments || []).map((a,i) => `${i+1}. ${a}`).join('\\n');\nconst content = [\n  `Lecture Notes: ${rag.lectureTitle}`,\n  `Class: ${rag.className}`,\n  `Duration: ${rag.durationMinutes} minutes`,\n  `Date: ${new Date().toISOString()}`, '',\n  `Summary`, `=======`, notes.summary || '', '',\n  `Key Concepts`, `=============`, concepts,\n  ...(defs     ? ['', `Definitions`,    `===========`, defs]        : []),\n  ...(assignments ? ['', `Assignments`, `===========`, assignments] : []),\n].join('\\n');\nconst title = `${rag.className} — ${rag.lectureTitle}`;\nreturn [{ binary: { document: { data: Buffer.from(content,'utf-8').toString('base64'), mimeType:'text/plain', fileName:`${title}.txt` }}, json: { title, className: rag.className } }];\n"
        },
        "id": "ed77ded0-36ae-469a-8144-904a7105adda",
        "name": "Prepare Notes Doc",
        "type": "n8n-nodes-base.code",
        "typeVersion": 2,
        "position": [
          2208,
          -208
        ]
      },
      {
        "parameters": {
          "method": "POST",
          "url": "https://paperless.paccoco.com/api/documents/post_document/",
          "sendHeaders": true,
          "headerParameters": {
            "parameters": [
              {
                "name": "Authorization",
                "value": "Bearer ${PAPERLESS_API_TOKEN}"
              }
            ]
          },
          "sendBody": true,
          "contentType": "multipart-form-data",
          "bodyParameters": {
            "parameters": [
              {
                "parameterType": "formBinaryData",
                "name": "document"
              },
              {
                "name": "title",
                "value": "={{ $json.title }}"
              },
              {
                "name": "tags[]",
                "value": "${PAPERLESS_TAG_LECTURE_NOTES}"
              }
            ]
          },
          "options": {}
        },
        "id": "df288dd8-584b-476d-bbe0-a4fb9f55904e",
        "name": "Save Notes to Paperless",
        "type": "n8n-nodes-base.httpRequest",
        "typeVersion": 4.2,
        "position": [
          2432,
          -208
        ],
        "continueOnFail": true
      }
    ],
    "connections": {
      "Class Upload Webhook": {
        "main": [
          [
            {
              "node": "Extract Class Info",
              "type": "main",
              "index": 0
            }
          ]
        ]
      },
      "Extract Class Info": {
        "main": [
          [
            {
              "node": "Whisper Transcribe",
              "type": "main",
              "index": 0
            }
          ]
        ]
      },
      "Whisper Transcribe": {
        "main": [
          [
            {
              "node": "Format Transcript",
              "type": "main",
              "index": 0
            }
          ]
        ]
      },
      "Format Transcript": {
        "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": "2026-05-22T21:55:33.319Z",
        "id": 333,
        "workflowId": "g9JRtBA5lR0OAwVo",
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        "event": "activated",
        "userId": "47b2227f-2fc2-4a08-bd35-ea157b92df0d"
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    ]
  }
}