Workflow n8n
Automatisation n8n : IA et gestion de workflow en temps réel
Ce workflow n8n est conçu pour automatiser la gestion de projets en intégrant des outils d'intelligence artificielle. Dans un contexte où la collaboration et la gestion des tâches sont essentielles, ce workflow permet d'interagir avec des modèles de langage avancés pour générer des réponses intelligentes et gérer des notes de manière efficace. Les entreprises peuvent l'utiliser pour améliorer leur productivité et faciliter la communication entre les équipes. Le workflow commence par un déclencheur manuel, permettant à l'utilisateur de tester le flux à tout moment. Ensuite, il utilise des nœuds tels que 'OpenAI Chat Model' et 'Embeddings OpenAI' pour traiter les données et générer des réponses pertinentes. Les nœuds 'Vector Store Retriever' et 'In-Memory Vector Store' sont intégrés pour stocker et récupérer des informations de manière dynamique. Le flux inclut également des nœuds de condition comme 'Switch' et 'IF' pour diriger le traitement en fonction des résultats obtenus. En fin de compte, cette automatisation n8n offre des bénéfices significatifs en termes de gain de temps et d'efficacité, permettant aux équipes de se concentrer sur des tâches à plus forte valeur ajoutée.
Tags clés :automatisationIAn8ngestion de projetproductivité
Catégorie: Manual · Tags: automatisation, IA, n8n, gestion de projet, productivité❤ 0
Workflow n8n gestion de projet, productivité : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n gestion de projet, productivité : détail des nœuds
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"nodes": [
{
"id": "25a059ad-c3d1-4848-a729-cbb50254e94a",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
40,
980
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3ae8469e-cbb4-436a-b5c2-2e6a146c5666",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
600
],
"parameters": {
"color": 7,
"width": 2160,
"height": 1540,
"content": "# Try me out !\n## Dummy Ugly Workflow\n---\nTry mixing it up of changing some connections to see how this workflow gets positionned !\n\n1. **Save this workfow** (Ctrl + S)\n2. **Execute the Magic Positioning Node**\n3. **Reload the page** (Ctrl + R)\n..watch the magic !"
},
"typeVersion": 1
},
{
"id": "4a67e81f-1638-4047-b9e7-85247f4cc291",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
480,
1420
],
"parameters": {
"options": {}
},
"typeVersion": 1.2
},
{
"id": "56293367-e676-44d6-ac05-8432c8181299",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
420,
1660
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "3",
"name": "Together.ai (lucas.photos)"
}
},
"typeVersion": 1
},
{
"id": "cacdff1d-f65d-40f3-b0b5-9913a8e249ed",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
880,
1760
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "9ccd8613-ded7-421a-bf2d-95e6465d9a34",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
1780,
1800
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cc5df13b-2d2e-4c59-b3e3-dfbcbffcfdf9",
"name": "In-Memory Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"position": [
1060,
1880
],
"parameters": {},
"typeVersion": 1
},
{
"id": "8c71b8fc-0699-4000-8021-fab3529690c6",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1660,
1940
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "3",
"name": "Together.ai (lucas.photos)"
}
},
"typeVersion": 1.1
},
{
"id": "83bbca90-f9aa-4aae-9f1b-68d7eb1e7272",
"name": "Question and Answer Chain",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
760,
1540
],
"parameters": {
"options": {}
},
"typeVersion": 1.4
},
{
"id": "6d124c93-a476-4b54-ad65-391eaf948605",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
1360,
1220
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5f1ec5b3-385c-4421-9791-a612f61cc634",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "737211eb-e4e2-4bb2-a32b-a6d819e158ba",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3a420a92-cd22-46d4-b2fa-1dffa6b28374",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "29c0fce3-aefb-4caf-a076-a548c108b641",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "886142ac-822e-4e25-875c-65632f682140",
"name": "IF",
"type": "n8n-nodes-base.if",
"position": [
440,
1480
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3a247df2-ea43-40f0-a395-0ce160fcbc92",
"name": "Dummy Node",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1360,
1520
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "53e46b03-026a-4645-b9c7-e913eea62fe9",
"name": "Dummy Node (1)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
700,
900
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "0d9a5f0a-e224-41b9-8ef0-4ba16e71c237",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
920,
980
],
"parameters": {
"options": {},
"batchSize": "=1"
},
"typeVersion": 3
},
{
"id": "2442eccb-8f95-4c2d-ae93-7e216e93e7f4",
"name": "Dummy Node (2)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1140,
940
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "2de8782c-f848-44cc-87b1-307506cdca38",
"name": "Dummy Node (3)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
700,
1200
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "f1bb16c1-b330-4208-b629-5a6e074b9178",
"name": "Dummy Node (4)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
900,
1460
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "93c393c5-d258-431e-ba22-c7de7f6560f1",
"name": "Dummy Node (5)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1140,
1200
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "c55e1584-4bab-4406-9b6c-a7ba96828c4b",
"name": "Dummy Node (6)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1580,
980
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "612a7a10-242e-4bd0-b4bd-6089e1fcd78b",
"name": "Dummy Node (7)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1780,
1300
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "eb5d2519-2f1e-4841-b8e8-58333cf9293d",
"name": "Dummy Node (8)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1340,
1720
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "661d3849-155b-4911-b923-4cd2a4227202",
"name": "Dummy Node (9)",
"type": "n8n-nodes-base.noOp",
"notes": "Big description of what happens here",
"position": [
1580,
1640
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "af2cca30-302d-47e1-bebc-3f6a92cef939",
"name": "Dummy Tool",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
720,
1660
],
"parameters": {
"url": "https://www.example.com"
},
"typeVersion": 1.1
},
{
"id": "7dded6b7-c60a-45e4-a49f-338bf4b549b8",
"name": "Dummy Tool (1)",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
680,
1760
],
"parameters": {
"url": "https://www.example.com"
},
"typeVersion": 1.1
},
{
"id": "d4f0d637-abda-4e79-ae6b-7af7050d6768",
"name": "OpenAI Chat Model (1)",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1360,
1880
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "3",
"name": "Together.ai (lucas.photos)"
}
},
"typeVersion": 1
},
{
"id": "e5ea3f5b-cd91-49b6-9191-f60a0d19bf40",
"name": "Update n8n Workflow",
"type": "n8n-nodes-base.n8n",
"position": [
700,
380
],
"parameters": {
"operation": "update",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $('POST /workflow/magic/position/id').last().json.body.workflow_id }}"
},
"requestOptions": {},
"workflowObject": "={{ $json.toJsonString() }}"
},
"credentials": {
"n8nApi": {
"id": "10",
"name": "n8n account"
}
},
"typeVersion": 1
},
{
"id": "5df2795d-f1fa-437f-9444-92a0ec4003da",
"name": "Magic Positioning IA2S",
"type": "n8n-nodes-base.httpRequest",
"position": [
480,
380
],
"parameters": {
"url": "https://api.ia2s.app/webhook/workflow/magic/position",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "workflow",
"value": "={{ $json }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f6820c3e-d0ec-45ef-92ce-b6a7466997fb",
"name": "POST /workflow/magic/position/id",
"type": "n8n-nodes-base.webhook",
"position": [
40,
380
],
"webhookId": "3f637a82-df5e-4580-b1af-81ebec0b345a",
"parameters": {
"path": "workflow/magic/positioning/id",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "f0a4176b-1fa4-4884-8a51-ecc00af7d246",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-40,
-60
],
"parameters": {
"color": 6,
"width": 300,
"height": 380,
"content": "## Put this node in any workflow.\n1. **Save the workfow** (Ctrl + S)\n2. **Execute the Magic Positioning Node**\n3. **Reload the page** (Ctrl + R)\n..and voilà !"
},
"typeVersion": 1
},
{
"id": "20d8af29-e07a-4205-a7b6-223b2cdb801a",
"name": "Get n8n Workflow",
"type": "n8n-nodes-base.n8n",
"position": [
260,
380
],
"parameters": {
"operation": "get",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.body.workflow_id }}"
},
"requestOptions": {}
},
"credentials": {
"n8nApi": {
"id": "10",
"name": "n8n account"
}
},
"typeVersion": 1
},
{
"id": "468a95e2-11bc-4bf6-be8a-4eb5f89654ef",
"name": "Simple Webhook Response",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
920,
380
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "Workflow Updated"
},
"typeVersion": 1.1
},
{
"id": "496ba599-cf72-4ba1-8e50-2e369f199b6f",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
80,
1260
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.2
},
{
"id": "107e6cb3-673b-4554-b42c-c9d2d7a00ce9",
"name": "Magic Positioning",
"type": "n8n-nodes-base.httpRequest",
"position": [
40,
160
],
"parameters": {
"url": "=https://{{ \"n8n.your-instance-url.com\" }}/webhook/workflow/magic/positioning/id",
"method": "POST",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "workflow_id",
"value": "={{ $workflow.id }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "55e8a9fc-1699-4890-b73e-a6201259a559",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-60
],
"parameters": {
"color": 5,
"width": 400,
"height": 380,
"content": "# Setup :\n---\n\n1. **Open the Webhook node** \n('Post /workflow/magic/position/id')\n2. Copy the **Production URL**\n3. Go to the **'Magic Positioning' Http Request** Node\n4. **Paste the URL**\n5. Select your **n8n credentials** in the n8n nodes"
},
"typeVersion": 1
}
],
"pinData": {
"POST /workflow/magic/position/id": [
{
"body": {
"workflow_id": "zwa7VqGx8GrqsPhb"
},
"query": {},
"params": {},
"headers": {
"host": "api.ia2s.app",
"accept": "application/json,text/html,application/xhtml+xml,application/xml,text/*;q=0.9, image/*;q=0.8, */*;q=0.7",
"user-agent": "axios/1.7.4",
"content-type": "application/json",
"content-length": "34",
"accept-encoding": "gzip, compress, deflate, br",
"x-forwarded-for": "172.25.0.1",
"x-forwarded-host": "api.ia2s.app",
"x-forwarded-proto": "https"
},
"webhookUrl": "https://api.ia2s.app/webhook/workflow/magic/positioning/id",
"executionMode": "production"
}
]
},
"connections": {
"IF": {
"main": [
[
{
"node": "Dummy Node",
"type": "main",
"index": 0
}
],
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Switch": {
"main": [
[
{
"node": "Dummy Node (6)",
"type": "main",
"index": 0
}
],
[
{
"node": "Dummy Node (7)",
"type": "main",
"index": 0
}
],
[
{
"node": "Dummy Node (8)",
"type": "main",
"index": 0
}
],
[
{
"node": "Dummy Node (9)",
"type": "main",
"index": 0
}
],
[
{
"node": "Question and Answer Chain",
"type": "main",
"index": 0
}
]
]
},
"Dummy Node": {
"main": [
[
{
"node": "Dummy Node (1)",
"type": "main",
"index": 0
},
{
"node": "Dummy Node (3)",
"type": "main",
"index": 0
}
]
]
},
"Dummy Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Dummy Node (1)": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Dummy Node (2)": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Dummy Node (3)": {
"main": [
[
{
"node": "Dummy Node (4)",
"type": "main",
"index": 0
}
]
]
},
"Dummy Node (5)": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Dummy Tool (1)": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Dummy Node (2)",
"type": "main",
"index": 0
}
],
[
{
"node": "Dummy Node (5)",
"type": "main",
"index": 0
}
]
]
},
"Get n8n Workflow": {
"main": [
[
{
"node": "Magic Positioning IA2S",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "IF",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "In-Memory Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Update n8n Workflow": {
"main": [
[
{
"node": "Simple Webhook Response",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenAI Chat Model (1)": {
"ai_languageModel": [
[
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"In-Memory Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Magic Positioning IA2S": {
"main": [
[
{
"node": "Update n8n Workflow",
"type": "main",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"POST /workflow/magic/position/id": {
"main": [
[
{
"node": "Get n8n Workflow",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "IF",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n gestion de projet, productivité : pour qui est ce workflow ?
Ce workflow s'adresse aux équipes de projet, aux responsables de la gestion des tâches et aux professionnels de l'IA. Il est idéal pour les entreprises de taille moyenne à grande qui cherchent à optimiser leur processus de travail et à intégrer des solutions d'automatisation sans nécessiter de compétences techniques avancées.
Workflow n8n gestion de projet, productivité : problème résolu
Ce workflow résout le problème de la gestion inefficace des tâches et de la communication au sein des équipes. En automatisant l'interaction avec des modèles d'IA, il élimine les frustrations liées à la recherche d'informations et à la prise de décision. Les utilisateurs bénéficient d'une réduction significative du temps passé sur des tâches répétitives, ce qui leur permet de se concentrer sur des activités plus stratégiques et créatives.
Workflow n8n gestion de projet, productivité : étapes du workflow
Étape 1 : Le flux commence par un déclencheur manuel lorsque l'utilisateur clique sur 'Test workflow'.
- Étape 1 : Il utilise le nœud 'OpenAI Chat Model' pour générer des réponses basées sur des requêtes spécifiques.
- Étape 2 : Les données sont ensuite traitées par le nœud 'Embeddings OpenAI' pour enrichir les réponses.
- Étape 3 : Le nœud 'Vector Store Retriever' permet de récupérer des informations stockées, tandis que 'In-Memory Vector Store' gère la mémoire des données.
- Étape 4 : Le flux inclut des nœuds de condition comme 'Switch' et 'IF' pour diriger le traitement selon les résultats obtenus.
- Étape 5 : Enfin, les résultats sont mis à jour dans n8n à l'aide du nœud 'Update n8n Workflow'.
Workflow n8n gestion de projet, productivité : guide de personnalisation
Pour personnaliser ce workflow, commencez par ajuster les paramètres des nœuds 'OpenAI Chat Model' et 'Embeddings OpenAI' selon vos besoins spécifiques. Vous pouvez également modifier les conditions dans les nœuds 'Switch' et 'IF' pour adapter le flux à des scénarios particuliers. Si vous souhaitez intégrer d'autres outils, pensez à ajouter des nœuds HTTP pour des appels API externes. Assurez-vous de sécuriser le flux en configurant les options de webhook et en surveillant les performances via les nœuds de mise à jour.