Automatisierte Buchzusammenfassungen basierend auf DeepSeek AI, Qdrant-Vektordatenbank und Google Drive
Experte
Dies ist ein Other, AI-Bereich Automatisierungsworkflow mit 23 Nodes. Hauptsächlich werden Code, SplitOut, GoogleDrive, HttpRequest, Agent und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. Automatisierte Buchzusammenfassungen basierend auf DeepSeek AI, Qdrant-Vektor-Datenbank und Google Drive
Voraussetzungen
- •Google Drive API-Anmeldedaten
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Qdrant-Serververbindungsdaten
Verwendete Nodes (23)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"meta": {
"instanceId": "2d54f61dfd963457efb86a8690aae457934e92fb9e4b8b6490ca74fc37094458",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "3f411206-145f-44d0-a76b-99b5dc1f7123",
"name": "Qdrant Vektorspeicher",
"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": [
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],
"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": "KI-Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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],
"parameters": {},
"typeVersion": 1.8
},
{
"id": "86d6218e-d08c-4617-877a-6a7502757553",
"name": "Simple Speicher",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
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],
"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 Kette",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
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1060
],
"parameters": {},
"typeVersion": 1.5
},
{
"id": "b754b1d2-bb78-477f-9c9d-d68c099c4b92",
"name": "Vektorspeicher Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
740,
1280
],
"parameters": {},
"typeVersion": 1
},
{
"id": "dccb21d6-1274-480d-8db6-ff4004431ad4",
"name": "Qdrant Vektorspeicher1",
"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": "Einbettungen Cohere",
"type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
"position": [
-120,
1340
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e3bbef67-77da-4734-ba84-813905b9ea4d",
"name": "Informationsextraktor",
"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": "Haftnotiz7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-740,
240
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "57630a9b-c092-41e5-8200-ee087c27c300",
"name": "Haftnotiz2",
"type": "n8n-nodes-base.stickyNote",
"position": [
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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
}
]
]
}
}
}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Sonstiges, Künstliche Intelligenz
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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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.
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