Sprach-RAG-Chatbot mit ElevenLabs und OpenAI

• •HTTP Webhook-Endpunkt (wird von n8n automatisch generiert)
• •Google Drive API-Anmeldedaten
• •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
• •OpenAI API Key
• •Qdrant-Serververbindungsdaten

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  "name": "Voice RAG Chatbot with ElevenLabs and OpenAI",
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      "name": "Embeddings OpenAI",
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        "content": "# STEP 4\n\n## RAG System\n\nClick on \"test workflow\" on n8n and \"Test AI agent\" on ElevenLabs. If everything is configured correctly, when you ask a question to the agent, the webhook on n8n is activated with the \"question\" field in the body filled with the question asked to the voice agent.\n\nThe AI ​​Agent will extract the information from the vector database, send it to the model to create the response which will be sent via the response webhook to ElevenLabs which will transform it into voice"
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      "parameters": {
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        "width": 1420,
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        "content": "# STEP 1\n\n## Create an Agent on ElevenLabs \n- Create an agent on ElevenLabs (eg. test_n8n)\n- Add \"First message\" (eg. Hi, Can I help you?)\n- Add the \"System Prompt\" message... eg:\n'You are the waiter of \"Pizzeria da Michele\" in Verona. If you are asked a question, use the tool \"test_chatbot_elevenlabs\". When you receive the answer from \"test_chatbot_elevenlabs\" answer the user clearly and precisely.'\n- In Tools add a Webhook called eg. \"test_chatbot_elevenlabs\" and add the following description:\n'You are the waiter. Answer the questions asked and store them in the question field.'\n- Add the n8n webhook URL (method POST)\n- Enable \"Body Parameters\" and insert in the description \"Ask the user the question to ask the place.\", then in the \"Properties\" add a data type string called \"question\", value type \"LLM Prompt\" and description \"user question\""
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      "typeVersion": 1
    },
    {
      "id": "ec053ee7-3a4a-4697-a08c-5645810d23f0",
      "name": "Bei Klick auf 'Workflow testen'",
      "type": "n8n-nodes-base.manualTrigger",
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      "parameters": {},
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    {
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      "name": "Sammlung erstellen",
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      "id": "7d10fda0-c6ab-4bf5-b73e-b93a84937eff",
      "name": "Ordner abrufen",
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            "cachedResultName": "My Drive"
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          "folderId": {
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            "value": "=test-whatsapp"
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        "resource": "fileFolder"
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      "name": "Token-Splitter",
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        "content": "# STEP 2\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
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        "content": "# STEP 3\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
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      "name": "OpenAI Chat-Modell",
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      "position": [
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      "parameters": {
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        "openAiApi": {
          "id": "CDX6QM4gLYanh0P4",
          "name": "OpenAi account"
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      "parameters": {
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        "width": 1400,
        "height": 240,
        "content": "# STEP 5\n\n## Add Widget\n\nAdd the widget to your business website by replacing AGENT_ID with the agent id you created on ElevenLabs\n\n<elevenlabs-convai agent-id=\"AGENT_ID\"></elevenlabs-convai><script src=\"https://elevenlabs.io/convai-widget/index.js\" async type=\"text/javascript\"></script>"
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