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truenas-stacks/n8n-workflows/08-class-recording-rag.json
Fizzlepoof 5d88f6cf93
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ops: sync dispatcharr tooling and pause noisy workflows
2026-05-24 02:59:51 +00:00

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{
"updatedAt": "2026-05-22T21:55:33.272Z",
"createdAt": "2026-05-10T02:04:29.809Z",
"id": "g9JRtBA5lR0OAwVo",
"name": "Class Recording → Transcribe → RAG",
"description": "Disabled 2026-05-24 after PD Ollama/LiteLLM hammering destabilized PlausibleDeniability. Needs redesign before re-enable.",
"active": false,
"isArchived": false,
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "class/upload",
"responseMode": "lastNode",
"responseData": "allEntries",
"options": {
"rawBody": true
}
},
"id": "cfc95f6c-cec1-4f2b-9746-761762e99afb",
"name": "Class Upload Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
0,
0
],
"webhookId": "d0ee8226-db56-477e-8a3f-572a9129aea9"
},
{
"parameters": {
"jsCode": "const data = $input.first().json;\nconst body = data.body || data;\nconst incomingBinary = $input.first().binary || {};\n\nconst className = body.class_name || data.headers?.['x-class-name'] || data.query?.class || 'unclassified';\nconst rawTitle = body.lecture_title || data.headers?.['x-lecture-title'] || data.query?.title || body.filename || 'Untitled Lecture';\nconst lectureTitle = rawTitle.replace(/\\.(wav|mp3|m4a|ogg)$/i, '').replace(/[-_]/g, ' ');\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n json: {\n className,\n classSlug,\n lectureTitle,\n uploadedAt: new Date().toISOString()\n },\n binary: incomingBinary\n}];"
},
"id": "2ed58ecd-a1cd-45e2-a80c-faf35da1a5b1",
"name": "Extract Class Info",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
0
]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.30.7:8786/v1/audio/transcriptions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{
"parameterType": "formBinaryData",
"name": "file",
"inputDataFieldName": "data"
},
{
"name": "model",
"value": "Systran/faster-whisper-large-v3"
},
{
"name": "language",
"value": "en"
},
{
"name": "response_format",
"value": "verbose_json"
}
]
},
"options": {
"timeout": 600000
}
},
"id": "23663476-1dbd-45fa-b9df-e27a2f230dae",
"name": "Whisper Transcribe",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
448,
0
]
},
{
"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
}
]
]
}
},
"settings": {
"executionOrder": "v1",
"binaryMode": "separate"
},
"staticData": null,
"meta": {
"templateCredsSetupCompleted": true
},
"pinData": {},
"versionId": "987fe225-b99f-421a-a76e-b839a0a9bef5",
"activeVersionId": "987fe225-b99f-421a-a76e-b839a0a9bef5",
"versionCounter": 46,
"triggerCount": 1,
"shared": [
{
"updatedAt": "2026-05-10T02:04:29.809Z",
"createdAt": "2026-05-10T02:04:29.809Z",
"role": "workflow:owner",
"workflowId": "g9JRtBA5lR0OAwVo",
"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": [
{
"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"
},
{
"updatedAt": "2026-05-06T22:39:59.716Z",
"createdAt": "2026-05-06T22:39:59.716Z",
"id": "tuPxDoKFqpVrrQoX",
"name": "whisper"
}
],
"activeVersion": {
"updatedAt": "2026-05-22T21:55:33.273Z",
"createdAt": "2026-05-22T21:55:33.273Z",
"versionId": "987fe225-b99f-421a-a76e-b839a0a9bef5",
"workflowId": "g9JRtBA5lR0OAwVo",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "class/upload",
"responseMode": "lastNode",
"responseData": "allEntries",
"options": {
"rawBody": true
}
},
"id": "cfc95f6c-cec1-4f2b-9746-761762e99afb",
"name": "Class Upload Webhook",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
0,
0
],
"webhookId": "d0ee8226-db56-477e-8a3f-572a9129aea9"
},
{
"parameters": {
"jsCode": "const data = $input.first().json;\nconst body = data.body || data;\nconst incomingBinary = $input.first().binary || {};\n\nconst className = body.class_name || data.headers?.['x-class-name'] || data.query?.class || 'unclassified';\nconst rawTitle = body.lecture_title || data.headers?.['x-lecture-title'] || data.query?.title || body.filename || 'Untitled Lecture';\nconst lectureTitle = rawTitle.replace(/\\.(wav|mp3|m4a|ogg)$/i, '').replace(/[-_]/g, ' ');\nconst classSlug = className.toLowerCase().replace(/[^a-z0-9]+/g, '-').replace(/^-|-$/g, '');\n\nreturn [{\n json: {\n className,\n classSlug,\n lectureTitle,\n uploadedAt: new Date().toISOString()\n },\n binary: incomingBinary\n}];"
},
"id": "2ed58ecd-a1cd-45e2-a80c-faf35da1a5b1",
"name": "Extract Class Info",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
0
]
},
{
"parameters": {
"method": "POST",
"url": "http://10.5.30.7:8786/v1/audio/transcriptions",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"contentType": "multipart-form-data",
"bodyParameters": {
"parameters": [
{
"parameterType": "formBinaryData",
"name": "file",
"inputDataFieldName": "data"
},
{
"name": "model",
"value": "Systran/faster-whisper-large-v3"
},
{
"name": "language",
"value": "en"
},
{
"name": "response_format",
"value": "verbose_json"
}
]
},
"options": {
"timeout": 600000
}
},
"id": "23663476-1dbd-45fa-b9df-e27a2f230dae",
"name": "Whisper Transcribe",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
448,
0
]
},
{
"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",
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"options": {}
},
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"options": {
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},
"id": "dd07e577-2bed-4100-9b37-f79b8dd59db3",
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},
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]
},
{
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"url": "https://paperless.paccoco.com/api/documents/post_document/",
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"headerParameters": {
"parameters": [
{
"name": "Authorization",
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{
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"name": "document"
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{
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"name": "tags[]",
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}
]
},
"options": {}
},
"id": "df288dd8-584b-476d-bbe0-a4fb9f55904e",
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],
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}
],
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{
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"type": "main",
"index": 0
}
]
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},
"Extract Class Info": {
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},
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