Résumé automatisé de livres basé sur DeepSeek AI, la base de vecteurs Qdrant et Google Drive
Avancé
Ceci est unOther, AIworkflow d'automatisation du domainecontenant 23 nœuds.Utilise principalement des nœuds comme Code, SplitOut, GoogleDrive, HttpRequest, Agent, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Résumé automatisé de livres, basé sur DeepSeek AI, la base de données vectorielle Qdrant et Google Drive
Prérequis
- •Informations d'identification Google Drive API
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Informations de connexion au serveur Qdrant
Nœuds utilisés (23)
Catégorie
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"meta": {
"instanceId": "2d54f61dfd963457efb86a8690aae457934e92fb9e4b8b6490ca74fc37094458",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "3f411206-145f-44d0-a76b-99b5dc1f7123",
"name": "Qdrant Stockage vectoriel",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
-80,
1060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "be9b15f1-e1c7-4cc7-9a01-a9beb9d7d4b4",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
-60,
1720
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d21c69ae-9507-446b-9970-c7a0016d76f7",
"name": "Default Data Loader1",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
80,
1560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0cad85f2-f81c-4fab-8965-f7183ee3044b",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1740,
1060
],
"parameters": {},
"typeVersion": 1.8
},
{
"id": "86d6218e-d08c-4617-877a-6a7502757553",
"name": "Simple Mémoire",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1820,
1280
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "fa8e5386-6be9-4ea2-b457-afcc255dba55",
"name": "Code",
"type": "n8n-nodes-base.code",
"position": [
400,
1060
],
"parameters": {},
"typeVersion": 2
},
{
"id": "31a80013-f03b-412b-bf94-fcf9bc3d702c",
"name": "Google Drive (create)",
"type": "n8n-nodes-base.googleDrive",
"position": [
2540,
680
],
"parameters": {},
"typeVersion": 3
},
{
"id": "ddcf1fca-49bf-4a32-9e0e-44379b881146",
"name": "Delete Collection",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
2440,
1160
],
"parameters": {},
"executeOnce": true,
"typeVersion": 4.2
},
{
"id": "d894616b-4a49-40ef-9b40-ffe88f4d0217",
"name": "Question and Answer Chaîne",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
640,
1060
],
"parameters": {},
"typeVersion": 1.5
},
{
"id": "b754b1d2-bb78-477f-9c9d-d68c099c4b92",
"name": "Stockage vectoriel Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
740,
1280
],
"parameters": {},
"typeVersion": 1
},
{
"id": "dccb21d6-1274-480d-8db6-ff4004431ad4",
"name": "Qdrant Stockage vectoriel1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
740,
1480
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "77a47942-fb4b-428d-a026-2a148ddfec3b",
"name": "qdrant_search",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1800,
1500
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "e566ea6f-5041-4e19-87db-87649b7068d2",
"name": "Incorporations Cohere",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-120,
1340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e3bbef67-77da-4734-ba84-813905b9ea4d",
"name": "Extracteur d'informations",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
1120,
1060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "32baf487-c74b-417c-a6c3-dd71bb461ca2",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
1480,
1060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d81aff3f-23ce-483f-b902-9de71709b1f6",
"name": "Response",
"type": "n8n-nodes-base.code",
"position": [
2220,
1060
],
"parameters": {},
"typeVersion": 2
},
{
"id": "64c22221-a18d-4442-a62b-3d19ff950e40",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
-500,
1060
],
"parameters": {},
"typeVersion": 3
},
{
"id": "3029008c-7bdd-4ab7-871a-60e324e9024f",
"name": "File Created",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-720,
1060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9bed63eb-3b6c-4506-8570-9ff7afdcd7f8",
"name": "input",
"type": "n8n-nodes-base.code",
"position": [
-300,
1060
],
"parameters": {},
"typeVersion": 2
},
{
"id": "d346f5df-d0e9-4e80-9eee-50b5b7c89ad9",
"name": "DeepSeek Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
"position": [
1360,
1360
],
"parameters": {},
"typeVersion": 1
},
{
"id": "93ae3fde-f4f5-43df-ae54-5e44272accd1",
"name": "Note adhésive7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
240
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "57630a9b-c092-41e5-8200-ee087c27c300",
"name": "Note adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1580,
240
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "7983e95b-30e1-4c45-b913-1fa3e12ca04e",
"name": "Doc",
"type": "n8n-nodes-base.code",
"position": [
2360,
780
],
"parameters": {},
"typeVersion": 2
}
],
"pinData": {},
"connections": {
"7983e95b-30e1-4c45-b913-1fa3e12ca04e": {
"main": [
[
{
"node": "31a80013-f03b-412b-bf94-fcf9bc3d702c",
"type": "main",
"index": 0
}
]
]
},
"fa8e5386-6be9-4ea2-b457-afcc255dba55": {
"main": [
[
{
"node": "Question and Answer Chain",
"type": "main",
"index": 0
}
]
]
},
"9bed63eb-3b6c-4506-8570-9ff7afdcd7f8": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "d81aff3f-23ce-483f-b902-9de71709b1f6",
"type": "main",
"index": 0
}
]
]
},
"d81aff3f-23ce-483f-b902-9de71709b1f6": {
"main": [
[
{
"node": "ddcf1fca-49bf-4a32-9e0e-44379b881146",
"type": "main",
"index": 0
},
{
"node": "7983e95b-30e1-4c45-b913-1fa3e12ca04e",
"type": "main",
"index": 0
}
]
]
},
"32baf487-c74b-417c-a6c3-dd71bb461ca2": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"3029008c-7bdd-4ab7-871a-60e324e9024f": {
"main": [
[
{
"node": "64c22221-a18d-4442-a62b-3d19ff950e40",
"type": "main",
"index": 0
}
]
]
},
"64c22221-a18d-4442-a62b-3d19ff950e40": {
"main": [
[
{
"node": "9bed63eb-3b6c-4506-8570-9ff7afdcd7f8",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"77a47942-fb4b-428d-a026-2a148ddfec3b": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings Cohere": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
},
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
},
{
"node": "77a47942-fb4b-428d-a026-2a148ddfec3b",
"type": "ai_embedding",
"index": 0
}
]
]
},
"d346f5df-d0e9-4e80-9eee-50b5b7c89ad9": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Information Extractor",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"main": [
[
{
"node": "fa8e5386-6be9-4ea2-b457-afcc255dba55",
"type": "main",
"index": 0
}
]
]
},
"d21c69ae-9507-446b-9970-c7a0016d76f7": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Information Extractor": {
"main": [
[
{
"node": "32baf487-c74b-417c-a6c3-dd71bb461ca2",
"type": "main",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Question and Answer Chain": {
"main": [
[
{
"node": "Information Extractor",
"type": "main",
"index": 0
}
]
]
},
"be9b15f1-e1c7-4cc7-9a01-a9beb9d7d4b4": {
"ai_textSplitter": [
[
{
"node": "d21c69ae-9507-446b-9970-c7a0016d76f7",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Autres, Intelligence Artificielle
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
Workflows recommandés
⚡AI驱动deYouTube播放列表et视频摘要与analysev2
AI YouTube播放列表与视频analysechatbot
If
Set
Code
+
If
Set
Code
72 Nœudsdmr
Autres
Mon flux de travail 3
Analyse de documents et création d'un chatbot avec Llama Parser, Gemini LLM et Pinecone DB
If
Code
Gmail
+
If
Code
Gmail
36 Nœudspavith
Autres
Agent IA restaurant [Modèle]
🤖 Assistant IA pour WhatsApp, Instagram et Messenger
If
N8n
Set
+
If
N8n
Set
239 NœudsAmanda Benks
Autres
Guide ultime de l'assistant Telegram piloté par l'IA (PDF, Brave Search et Google Workspace)
Construire un robot Telegram polyvalent avec Gemini, recherche de PDF RAG et Google Workspace
Set
Code
Wait
+
Set
Code
Wait
79 NœudsIssam AGGOUR
Intelligence Artificielle
Explorer les nœuds n8n dans la bibliothèque de références visuelles
Explorer les nœuds n8n dans la base de références visuelles
If
Ftp
Set
+
If
Ftp
Set
113 NœudsI versus AI
Autres
Génération de questions d'examen
Génération automatique de questions d'examen et de réponses pilotée par l'IA, basée sur Google Docs et Gemini
Code
Google Docs
Http Request
+
Code
Google Docs
Http Request
37 NœudsDavide
Autres
Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds23
Catégorie2
Types de nœuds16
Description de la difficulté
Auteur
Adam Crafts
@adamcraftsAs an experienced AI Agent Builder, I specialize in creating intelligent solutions tailored to enhance automation, streamline operations, and drive innovation. 🛠️ My passion lies in transforming ideas into functional AI agents that deliver tangible results.
Liens externes
Voir sur n8n.io →
Partager ce workflow