Automatisation OpenAI avec n8n : création de notes et rappels
- Ce workflow n8n a pour objectif d'automatiser la gestion de notes et de rappels en utilisant OpenAI et une base de données PostgreSQL. Il s'adresse principalement aux équipes de projet, aux gestionnaires de tâches et à toute organisation cherchant à améliorer son efficacité en matière de prise de notes et de suivi des informations. En intégrant des outils comme OpenAI pour générer du contenu et PostgreSQL pour stocker les données, ce workflow permet de transformer des idées en notes structurées et de créer des rappels pertinents.
- Le processus débute avec un déclencheur de type Webhook, qui permet de recevoir des données en temps réel. Ensuite, le node OpenAI génère des textes basés sur des prompts spécifiques. Ces textes sont ensuite insérés dans une base de données PostgreSQL à l'aide du node 'Insert Transcription Part'. Par la suite, des notes sont créées et formatées grâce à plusieurs nodes de type 'Sticky Note', offrant une visualisation claire des informations. En parallèle, des appels HTTP sont effectués pour créer des threads OpenAI et des bots de rappel, assurant ainsi une interaction fluide entre les différents éléments du workflow.
- Les bénéfices de cette automatisation n8n incluent une réduction significative du temps passé à organiser les notes, une meilleure gestion des rappels et une amélioration de la collaboration au sein des équipes. En intégrant ces outils, les utilisateurs peuvent se concentrer sur des tâches à plus forte valeur ajoutée, tout en ayant la certitude que leurs informations sont bien structurées et facilement accessibles.
Workflow n8n OpenAI, PostgreSQL, gestion de notes : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n OpenAI, PostgreSQL, gestion de notes : détail des nœuds
Inscris-toi pour voir l'intégralité du workflow
Inscription gratuite
S'inscrire gratuitementBesoin d'aide ?{
"nodes": [
{
"id": "d44489b8-8cb7-4776-8c16-a8bb01e52171",
"name": "OpenAI1",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
300,
-300
],
"parameters": {
"text": "={{ \n JSON.parse($('Insert Transcription Part').item.json.dialog)\n .filter(item => item.date_updated && new Date(item.date_updated) >= new Date($('Insert Transcription Part').item.json.date_updated))\n .sort((a, b) => a.order - b.order)\n .map(item => `${item.words}\\n${item.speaker}`)\n .join('\\n\\n')\n}}",
"memory": "threadId",
"prompt": "define",
"options": {},
"resource": "assistant",
"threadId": "={{ $json.thread_id }}",
"assistantId": {
"__rl": true,
"mode": "list",
"value": "asst_D5t6bNnNpenmfC7PmvywMqyR",
"cachedResultName": "5minAI - Realtime Agent"
}
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1.6
},
{
"id": "3425f1c1-ad68-495e-bb9a-95ea92e7cf23",
"name": "Insert Transcription Part",
"type": "n8n-nodes-base.postgres",
"position": [
-120,
-300
],
"parameters": {
"query": "UPDATE public.data\nSET output = jsonb_set(\n output,\n '{dialog}', \n (\n COALESCE(\n (output->'dialog')::jsonb, \n '[]'::jsonb -- Initialize as empty array if dialog does not exist\n ) || jsonb_build_object(\n 'order', (COALESCE(jsonb_array_length(output->'dialog'), 0) + 1), -- Calculate the next order\n 'words', '{{ $('Webhook2').item.json.body.data.transcript.words.map(word => word.text.replace(/'/g, \"''\")).join(\" \") }}',\n 'speaker', '{{ $('Webhook2').item.json.body.data.transcript.speaker }}',\n 'language', '{{ $('Webhook2').item.json.body.data.transcript.language }}',\n 'speaker_id', ('{{ $('Webhook2').item.json.body.data.transcript.speaker_id }}')::int,\n 'date_updated', to_jsonb('{{ $now }}'::text)\n )\n )\n)\nWHERE input->>'recall_bot_id' = $1\nReturning input->>'openai_thread_id' as thread_id;",
"options": {
"queryReplacement": "={{ $('Scenario 2 Start - Webhook').item.json.body.data.bot_id }}"
},
"operation": "executeQuery"
},
"credentials": {
"postgres": {
"id": "AO9cER6p8uX7V07T",
"name": "Postgres 5minai"
}
},
"typeVersion": 2.5
},
{
"id": "9bcc0605-fc35-4842-a3f4-30ef902f35c1",
"name": "Create Note",
"type": "n8n-nodes-base.postgresTool",
"position": [
180,
-120
],
"parameters": {
"query": "UPDATE public.data\nSET output = jsonb_set(\n output,\n '{notes}', \n (\n COALESCE(\n (output->'notes')::jsonb, \n '[]'::jsonb -- Initialize as empty array if dialog does not exist\n ) || jsonb_build_object(\n 'order', (COALESCE(jsonb_array_length(output->'notes'), 0) + 1), -- Calculate the next order\n 'text', '{{ $fromAI(\"note\",\"Text of note.\") }}'\n )\n )\n)\nWHERE input->>'recall_bot_id' = $1",
"options": {
"queryReplacement": "={{ $('Scenario 2 Start - Webhook').item.json.body.data.bot_id }}"
},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Create note record."
},
"credentials": {
"postgres": {
"id": "AO9cER6p8uX7V07T",
"name": "Postgres 5minai"
}
},
"typeVersion": 2.5
},
{
"id": "0831c139-ca4b-4b4c-aa7f-7495c4ca0110",
"name": "Create Recall bot",
"type": "n8n-nodes-base.httpRequest",
"position": [
-60,
-980
],
"parameters": {
"url": "https://us-west-2.recall.ai/api/v1/bot",
"method": "POST",
"options": {},
"jsonBody": "={\n \"meeting_url\":\"{{ $json.meeting_url }}\",\n \"transcription_options\": {\n \"provider\": \"assembly_ai\"\n }\n,\n\"real_time_transcription\": {\n \"destination_url\": \"https://n8n.lowcoding.dev/webhook/d074ca1e-52f9-47af-8587-8c24d431f9cd\"\n },\n\"automatic_leave\": {\n \"silence_detection\": {\n \"timeout\": 300, \n \"activate_after\": 600\n },\n \"bot_detection\": {\n \"using_participant_events\": {\n \"timeout\": 600, \n \"activate_after\": 1200\n }\n },\n \"waiting_room_timeout\": 600,\n \"noone_joined_timeout\": 600,\n \"everyone_left_timeout\": 2,\n \"in_call_not_recording_timeout\": 600,\n \"recording_permission_denied_timeout\": 600\n}\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "lfHu7Kn7L7SH3LAF",
"name": "Recall"
}
},
"typeVersion": 4.2
},
{
"id": "e1122b5b-3af5-4836-802c-40c3a0eb3c93",
"name": "Create OpenAI thread",
"type": "n8n-nodes-base.httpRequest",
"position": [
140,
-980
],
"parameters": {
"url": "https://api.openai.com/v1/threads",
"method": "POST",
"options": {},
"sendHeaders": true,
"authentication": "predefinedCredentialType",
"headerParameters": {
"parameters": [
{
"name": "OpenAI-Beta",
"value": "assistants=v2"
}
]
},
"nodeCredentialType": "openAiApi"
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 4.2
},
{
"id": "784c123d-adbb-4265-9485-2c88dd3091c2",
"name": "Create data record",
"type": "n8n-nodes-base.supabase",
"position": [
320,
-980
],
"parameters": {
"tableId": "data",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "input",
"fieldValue": "={{ {\"openai_thread_id\": $('Create OpenAI thread').item.json.id, \"recall_bot_id\": $('Create Recall bot').item.json.id, \"meeting_url\":$('Webhook').item.json.body.meeting_url } }}"
},
{
"fieldId": "output",
"fieldValue": "={{ {\"dialog\":[]} }}"
}
]
}
},
"credentials": {
"supabaseApi": {
"id": "iVKNf5qv3ZFhq0ZV",
"name": "Supabase 5minAI"
}
},
"typeVersion": 1
},
{
"id": "f455c7de-1e64-4a28-9eef-11d19c982813",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-900,
-380
],
"parameters": {
"color": 7,
"width": 330.5152611046425,
"height": 239.5888196628349,
"content": "### ... or watch set up video [10 min]\n[](https://www.youtube.com/watch?v=rtaX6BMiTeo)\n"
},
"typeVersion": 1
},
{
"id": "ea90c110-18ad-4f4b-90ab-fcb88b92e709",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-1060
],
"parameters": {
"color": 7,
"width": 636,
"height": 657,
"content": "\n## AI Agent for realtime insights on meetings\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\n\nTranscribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications.\n\nThe workflow employs an AI-powered assistant to join virtual meetings and capture discussions through real-time transcription. Key functionalities include:\n- Automatic joining of meetings on platforms like Zoom, Google Meet, and others with the ability to provide real-time transcription.\n- Integration with transcription APIs (e.g., AssemblyAI) to deliver seamless and accurate capture of dialogue.\n- Structuring and storing transcriptions efficiently in a database for easy retrieval and analysis.\n\n1. **Real-Time Transcription**: The assistant captures audio during meetings and transcribes it in real-time, allowing participants to focus on discussions.\n2. **Keyword Recognition**: Key phrases can trigger specific actions, such as noting important points or making prompts to the assistant.\n3. **Structured Data Management**: The assistant maintains a database of transcriptions linked to meeting details for organized storage and quick access later."
},
"typeVersion": 1
},
{
"id": "378c19bb-0e4a-43d3-9ba5-2a77ebfb5b83",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1200,
-380
],
"parameters": {
"color": 7,
"width": 280,
"height": 626,
"content": "### Set up steps\n\n#### Preparation\n\n1. **Create Recall.ai API key**\n2. **Setup Supabase account and table**\n```\ncreate table\n public.data (\n id uuid not null default gen_random_uuid (),\n date_created timestamp with time zone not null default (now() at time zone 'utc'::text),\n input jsonb null,\n output jsonb null,\n constraint data_pkey primary key (id),\n ) tablespace pg_default;\n\n```\n3. **Create OpenAI API key**\n\n#### Development\n\n1. **Bot Creation**: \n - Use a node to create the bot that will join meetings. Provide the meeting URL and set transcription options within the API request.\n\n2. **Authentication**: \n - Configure authentication settings via a Bearer token for interacting with your transcription service.\n\n3. **Webhook Setup**: \n - Create a webhook to receive real-time transcription updates, ensuring timely data capture during meetings.\n\n4. **Join Meeting**: \n - Set the bot to join the specified meeting and actively listen to capture conversations.\n\n5. **Transcription Handling**: \n - Combine transcription fragments into cohesive sentences and manage dialog arrays for coherence.\n\n6. **Trigger Actions on Keywords**: \n - Set up keyword recognition that can initiate requests to the OpenAI API for additional interactions based on captured dialogue.\n\n7. **Output and Summary Generation**: \n - Produce insights and summary notes from the transcriptions that can be stored back into the database for future reference."
},
"typeVersion": 1
},
{
"id": "9a4ff741-ccfd-42e9-883e-43297a73e2c3",
"name": "Scenario 1 Start - Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
-260,
-980
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "4891fa6e-2dd5-4433-925c-5497ec82e8ab",
"name": "meeting_url",
"type": "string",
"value": "https://meet.google.com/iix-vrav-kuc"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a4368763-b96e-45e7-884d-aa0cbae2d276",
"name": "Scenario 2 Start - Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-320,
-300
],
"webhookId": "7f176935-cb83-4147-ac14-48c8d747863a",
"parameters": {
"path": "d074ca1e-52f9-47af-8587-8c24d431f9cd",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "107b26af-d1d2-40c7-ad4f-7193d3ae9b70",
"name": "If Jimmy word",
"type": "n8n-nodes-base.if",
"position": [
80,
-300
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "ba6c2ae5-d0f4-4242-9cf8-97cb84335a93",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $('Scenario 2 Start - Webhook').item.json.body.data.transcript.words.map(word => word.text.replace(/'/g, \"''\")).join(\" \") }}",
"rightValue": "=Jimmy"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "49cf34f6-86cf-42cc-9da4-3efb37e6f565",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
-1040
],
"parameters": {
"width": 920,
"height": 400,
"content": "## Scenario 1\n\n"
},
"typeVersion": 1
},
{
"id": "34660f39-6ecc-4f2d-98e8-a2c529255e98",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-380,
-360
],
"parameters": {
"width": 1020,
"height": 420,
"content": "## Scenario 2\n\n"
},
"typeVersion": 1
},
{
"id": "5027e72d-2b2c-40b4-921e-c4f40d85f251",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
-120
],
"parameters": {
"color": 3,
"width": 270,
"height": 80,
"content": "### Replace Supabase credentials"
},
"typeVersion": 1
},
{
"id": "dddea341-da40-4b6a-ae25-a8417e869cc9",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
-780
],
"parameters": {
"color": 3,
"width": 200,
"height": 80,
"content": "### Replace server location\n\n"
},
"typeVersion": 1
},
{
"id": "e8e76c2a-f949-400e-92b2-39da8034b471",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-100
],
"parameters": {
"color": 4,
"width": 270,
"height": 80,
"content": "### Replace OpenAI credentials"
},
"typeVersion": 1
},
{
"id": "729a5f6e-5aea-4908-9a82-2a7d7bea1322",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
140,
-780
],
"parameters": {
"color": 3,
"width": 290,
"height": 80,
"content": "### Replace credentials"
},
"typeVersion": 1
},
{
"id": "31178e90-62ce-4bf8-8381-dc8138088889",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-780
],
"parameters": {
"color": 3,
"width": 200,
"height": 80,
"content": "### Replace meeting url\n\n"
},
"typeVersion": 1
}
],
"pinData": {
"Create Recall bot": [
{
"id": "ab35fa56-e42b-47c6-b716-eac8d12af601",
"join_at": null,
"metadata": {},
"recording": null,
"video_url": null,
"recordings": [],
"meeting_url": {
"platform": "google_meet",
"meeting_id": "zst-ymag-zoa"
},
"status_changes": [
{
"code": "ready",
"message": null,
"sub_code": null,
"created_at": "2024-11-01T11:29:32.364684Z"
}
],
"meeting_metadata": null,
"calendar_meetings": [],
"meeting_participants": []
}
],
"Insert Transcription Part": [
{
"dialog": "[{\"order\": 1, \"words\": \"Wait.\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 2, \"words\": \"A bit.\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 3, \"words\": \"It's not even subtitles and it's not even a real. It's. A Google Meet.\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 4, \"words\": \"Same story. I wasn't prepared. I don't know what to tell you. Maybe my AI body can help me.\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 5, \"words\": \"What truth?\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 6, \"words\": \"You can get the same AI body in one day. Just drop AI in comment and I will. Send you a guide.\", \"speaker\": \"Mark S.\", \"language\": null, \"speaker_id\": 100}, {\"order\": 7, \"words\": \"As it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100}, {\"order\": 8, \"words\": \"As it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100}, {\"order\": 9, \"words\": \"As it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100}, {\"order\": 10, \"words\": \"Let's it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100}, {\"order\": 11, \"words\": \"Let's it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100}, {\"order\": 12, \"words\": \"Let's it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100, \"date_updated\": \"2024-11-22T08:41:24.164+01:00\"}, {\"order\": 13, \"words\": \"Let's it works well.\", \"speaker\": \"Mark S.\", \"language\": \"null\", \"speaker_id\": 100, \"date_updated\": \"2024-11-22T08:50:11.330+01:00\"}]",
"thread_id": "thread_0g7p3iE7MYmDPiUuPiZP5vfR",
"date_updated": "2024-11-22T08:37:55.751+01:00"
}
],
"Scenario 2 Start - Webhook": [
{
"body": {
"data": {
"bot_id": "0032c6e2-78e9-46e7-a2ef-41d7b853ef48",
"transcript": {
"words": [
{
"text": "Let's",
"end_time": 11.88,
"start_time": 11.68
},
{
"text": "it",
"end_time": 12.12,
"start_time": 11.88
},
{
"text": "works",
"end_time": 12.44,
"start_time": 12.12
},
{
"text": "well.",
"end_time": 12.48,
"start_time": 12.44
}
],
"source": "smart_annotator",
"speaker": "Mark S.",
"is_final": true,
"language": null,
"speaker_id": 100,
"original_transcript_id": 32
},
"recording_id": "ee1ad589-39fe-4ed5-b96f-cd14c63f3bc2"
},
"event": "bot.transcription"
},
"query": {},
"params": {},
"headers": {
"host": "n8n.lowcoding.dev",
"accept": "*/*",
"content-type": "application/json",
"content-length": "495",
"accept-encoding": "gzip",
"x-forwarded-for": "52.10.191.34",
"x-forwarded-host": "n8n.lowcoding.dev",
"x-forwarded-proto": "https"
},
"webhookUrl": "https://n8n.lowcoding.dev/webhook/d074ca1e-52f9-47af-8587-8c24d431f9cd",
"executionMode": "production"
}
]
},
"connections": {
"OpenAI1": {
"main": [
[]
]
},
"Create Note": {
"ai_tool": [
[
{
"node": "OpenAI1",
"type": "ai_tool",
"index": 0
}
]
]
},
"If Jimmy word": {
"main": [
[
{
"node": "OpenAI1",
"type": "main",
"index": 0
}
]
]
},
"Create Recall bot": {
"main": [
[
{
"node": "Create OpenAI thread",
"type": "main",
"index": 0
}
],
[]
]
},
"Create data record": {
"main": [
[]
]
},
"Create OpenAI thread": {
"main": [
[
{
"node": "Create data record",
"type": "main",
"index": 0
}
]
]
},
"Insert Transcription Part": {
"main": [
[
{
"node": "If Jimmy word",
"type": "main",
"index": 0
}
]
]
},
"Scenario 2 Start - Webhook": {
"main": [
[
{
"node": "Insert Transcription Part",
"type": "main",
"index": 0
}
]
]
},
"Scenario 1 Start - Edit Fields": {
"main": [
[
{
"node": "Create Recall bot",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n OpenAI, PostgreSQL, gestion de notes : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes de projet, aux gestionnaires de tâches et aux organisations cherchant à optimiser leur gestion des informations. Il est conçu pour des utilisateurs ayant un niveau technique intermédiaire et peut être adapté à des entreprises de toutes tailles.
Workflow n8n OpenAI, PostgreSQL, gestion de notes : problème résolu
Ce workflow résout le problème de la gestion manuelle des notes et des rappels, qui peut être chronophage et sujet à des erreurs. En automatisant ce processus, il élimine les frustrations liées à la perte d'informations importantes et réduit le risque d'oubli de tâches. Les utilisateurs bénéficient d'une organisation améliorée et d'un accès rapide à leurs notes, ce qui leur permet de se concentrer sur des activités plus stratégiques.
Workflow n8n OpenAI, PostgreSQL, gestion de notes : étapes du workflow
Étape 1 : Le workflow commence par un déclencheur de type Webhook qui reçoit des données.
- Étape 1 : Le node OpenAI génère du texte basé sur les prompts fournis.
- Étape 2 : Les données générées sont insérées dans la base de données PostgreSQL via le node 'Insert Transcription Part'.
- Étape 3 : Des notes sont créées à l'aide de plusieurs nodes 'Sticky Note', permettant une visualisation claire.
- Étape 4 : Des appels HTTP sont effectués pour créer des threads OpenAI et des bots de rappel, facilitant l'interaction entre les éléments du workflow.
Workflow n8n OpenAI, PostgreSQL, gestion de notes : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier le prompt utilisé dans le node OpenAI pour adapter le type de contenu généré. Il est également possible de changer les paramètres de connexion à la base de données PostgreSQL, tels que le nom de la table ou les champs à insérer. Si vous souhaitez intégrer d'autres outils, vous pouvez ajouter des nodes supplémentaires pour des services comme Slack ou Trello. Assurez-vous de sécuriser vos données en utilisant des authentifications appropriées pour les appels HTTP et en configurant les permissions d'accès à la base de données.