Slack-Nachrichten zu Pinecone
Dies ist ein Internal Wiki, AI RAG-Bereich Automatisierungsworkflow mit 24 Nodes. Hauptsächlich werden Set, Slack, SlackTrigger, Agent, GoogleSheetsTool und andere Nodes verwendet. Erstellen Sie einen kontextbewussten Slack-Assistenten mit Google Sheets, Pinecone und GPT-4o
- •Slack Bot Token oder Webhook URL
- •Google Sheets API-Anmeldedaten
- •OpenAI API Key
- •Pinecone API Key
Verwendete Nodes (24)
Kategorie
{
"id": "PS6MqPybTzbUpzIK",
"meta": {
"instanceId": "8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177",
"templateCredsSetupCompleted": true
},
"name": "Slack messages update to Pinecone",
"tags": [],
"nodes": [
{
"id": "a1c92a1d-e74f-4f48-8285-f858ca61b4c9",
"name": "Slack-Trigger",
"type": "n8n-nodes-base.slackTrigger",
"position": [
-304,
448
],
"webhookId": "419966a1-e8f1-481b-a27f-9389f1204001",
"parameters": {},
"typeVersion": 1
},
{
"id": "00ab2770-9c81-49d8-8bee-fcab5066a78f",
"name": "KI-Agent1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
384,
448
],
"parameters": {},
"typeVersion": 2
},
{
"id": "b1cac577-56b9-4bfb-be4d-846a0b439b18",
"name": "Azure OpenAI-Chat-Modell1",
"type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
"position": [
144,
672
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1651d6da-06f0-4422-b9fc-45ec3c0de7f3",
"name": "Benutzerprofil abrufen",
"type": "n8n-nodes-base.slack",
"position": [
-80,
448
],
"webhookId": "02127bdf-1829-49a7-906b-95fbb6f35201",
"parameters": {},
"typeVersion": 2.3
},
{
"id": "08cd364d-006c-410b-a69b-9ff02cc40bbc",
"name": "Pinecone Vektorspeicher2",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
272,
672
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "1063099d-0a92-4d1f-b2f5-8eff53581a18",
"name": "Einbettungen Azure OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsAzureOpenAi",
"position": [
304,
880
],
"parameters": {},
"typeVersion": 1
},
{
"id": "37c8a73e-cb36-462b-ab03-d6b90f64dc60",
"name": "Zeile(n) in Tabelle in Google Tabellen abrufen",
"type": "n8n-nodes-base.googleSheetsTool",
"position": [
592,
672
],
"parameters": {},
"typeVersion": 4.6
},
{
"id": "bfc17a2c-1f9c-4119-a521-3c582c51c6da",
"name": "Pinecone Vektorspeicher3",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
2048,
448
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "a55f71c9-1e2d-4aad-8b0b-1db68b4e001d",
"name": "Einbettungen Azure OpenAI3",
"type": "@n8n/n8n-nodes-langchain.embeddingsAzureOpenAi",
"position": [
2144,
672
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1f8020e7-f290-4172-b8b0-b44f9f49778b",
"name": "Reranker Cohere1",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
432,
880
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3ad72eab-4620-40c7-a3cb-e34dac4e34d2",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
720,
672
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "01b23deb-f228-43ca-8817-0423d35ba5dc",
"name": "Pinecone Vektorspeicher5",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
928,
448
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "d3975a99-384f-4b27-9c9d-2c6a3a408858",
"name": "Einbettungen Azure OpenAI5",
"type": "@n8n/n8n-nodes-langchain.embeddingsAzureOpenAi",
"position": [
960,
672
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a92ceeb5-1635-4f1c-a48f-22ee7456a65b",
"name": "Reranker Cohere3",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
1088,
672
],
"parameters": {},
"typeVersion": 1
},
{
"id": "a22246ca-4203-4bde-8a30-a978bd132825",
"name": "KI-Agent3",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1328,
448
],
"parameters": {},
"typeVersion": 2
},
{
"id": "4740068f-b378-45bc-861e-02eda49c58a5",
"name": "Azure OpenAI-Chat-Modell3",
"type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
"position": [
1360,
880
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d7b96829-1adf-44bd-b9ff-432bf2f49d65",
"name": "Auto-fixing Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
1424,
672
],
"parameters": {},
"typeVersion": 1
},
{
"id": "ab60fa7a-f941-43f9-bc7d-a99792401cf2",
"name": "Structured Output Parser2",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1536,
880
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "c49423df-50e9-40f6-af52-bb46d84ba502",
"name": "Felder bearbeiten1",
"type": "n8n-nodes-base.set",
"position": [
1824,
448
],
"parameters": {},
"typeVersion": 3.4
},
{
"id": "dac8a8bf-f935-459c-9342-8a081b5d5485",
"name": "Haftnotiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
-336,
48
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "baba3093-11eb-42e3-96ec-b0c328ee90a9",
"name": "Haftnotiz2",
"type": "n8n-nodes-base.stickyNote",
"position": [
368,
64
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "1a004cf6-1e62-47f0-9d10-19f155579d8e",
"name": "Haftnotiz3",
"type": "n8n-nodes-base.stickyNote",
"position": [
928,
64
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "1bc5b309-db94-4575-b810-fec2479fb5f9",
"name": "Haftnotiz4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1312,
64
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "83749fb2-f6b3-4b96-a6d1-44428d6105f3",
"name": "Haftnotiz5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1968,
64
],
"parameters": {
"content": ""
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "604317ed-0e44-492f-9e6f-56d69bdcc79a",
"connections": {
"AI Agent1": {
"main": [
[
{
"node": "Pinecone Vector Store5",
"type": "main",
"index": 0
}
]
]
},
"AI Agent3": {
"main": [
[
{
"node": "c49423df-50e9-40f6-af52-bb46d84ba502",
"type": "main",
"index": 0
}
]
]
},
"c49423df-50e9-40f6-af52-bb46d84ba502": {
"main": [
[
{
"node": "Pinecone Vector Store3",
"type": "main",
"index": 0
}
]
]
},
"Slack Trigger": {
"main": [
[
{
"node": "1651d6da-06f0-4422-b9fc-45ec3c0de7f3",
"type": "main",
"index": 0
}
]
]
},
"1f8020e7-f290-4172-b8b0-b44f9f49778b": {
"ai_reranker": [
[
{
"node": "Pinecone Vector Store2",
"type": "ai_reranker",
"index": 0
}
]
]
},
"a92ceeb5-1635-4f1c-a48f-22ee7456a65b": {
"ai_reranker": [
[
{
"node": "Pinecone Vector Store5",
"type": "ai_reranker",
"index": 0
}
]
]
},
"1651d6da-06f0-4422-b9fc-45ec3c0de7f3": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
]
]
},
"Pinecone Vector Store2": {
"ai_tool": [
[
{
"node": "AI Agent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"Pinecone Vector Store5": {
"main": [
[
{
"node": "AI Agent3",
"type": "main",
"index": 0
}
]
]
},
"Azure OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Azure OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "AI Agent3",
"type": "ai_languageModel",
"index": 0
},
{
"node": "d7b96829-1adf-44bd-b9ff-432bf2f49d65",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings Azure OpenAI2": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store2",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings Azure OpenAI3": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store3",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings Azure OpenAI5": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store5",
"type": "ai_embedding",
"index": 0
}
]
]
},
"d7b96829-1adf-44bd-b9ff-432bf2f49d65": {
"ai_outputParser": [
[
{
"node": "AI Agent3",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"3ad72eab-4620-40c7-a3cb-e34dac4e34d2": {
"ai_outputParser": [
[
{
"node": "AI Agent1",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"ab60fa7a-f941-43f9-bc7d-a99792401cf2": {
"ai_outputParser": [
[
{
"node": "d7b96829-1adf-44bd-b9ff-432bf2f49d65",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Zeile(n) in Tabelle in Google Sheets abrufen": {
"ai_tool": [
[
{
"node": "AI Agent1",
"type": "ai_tool",
"index": 0
}
]
]
}
}
}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 - Internes Wiki, KI RAG
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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Rahul Joshi
@rahul08Rahul Joshi is a seasoned technology leader specializing in the n8n automation tool and AI-driven workflow automation. With deep expertise in building open-source workflow automation and self-hosted automation platforms, he helps organizations eliminate manual processes through intelligent n8n ai agent automation solutions.
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