Mit Ihrem Drive-Ordner via RAG chatten

• •Google Drive API-Anmeldedaten
• •OpenAI API Key
• •Pinecone API Key

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      "parameters": {
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        "width": 614.6875,
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        "content": "## 2. Create a Vector Store\n[Read more about the In-Memory Vector Store](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory/)"
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        "content": "## 4. AI Agent Responds\n[Learn more about using AI Agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\n\nn8n's AI agents are powerful nodes which make it incredibly easy to use state-of-the-art AI in your workflows. Not only do they have the ability to remember conversations per individual customer but also tap into resources such as our product catalogue vector store to pull factual information and data for every question."
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          "systemMessage": "You a personal assistant that helps me make decisions based on my internal information pdfs. Your goal is not to facilitate a explain any questions user might have about the documents.\n\nDo your best to answer any questions factually. If you don't know the answer or unable to obtain the information from the datastore, then tell the user so.\n\nAlways answer in short message, in the size of one paragraph: between 100 and 200 words. Better to answer in short messages, human like."
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        "operation": "download"
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        "content": "## Add documents to vector store when updating or creating new documents in Google Drive"
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        "content": "## 1. Build Databse\n[Read more about the HTTP Request Tool](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest)\n\nImport your marketing PDF document to build your vector store. This will be used as the knowledgebase by the Tourist guide AI Agent."
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        "mode": "insert",
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        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "my-docs",
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        "pineconeIndex": {
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