Asistente de chat de voz de IA integrando ElevenLabs y InfraNodo Graph RAG Knowledge

• •Punto final de HTTP Webhook (n8n generará automáticamente)
• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Expert #2\n\nAdd your InfraNodus graph here via the HTTP node using its name in the `body.name` field.\n\nDescribe what the expert does in the Description of the tool. You can use auto-generated Graph RAG summary from InfraNodus > Graph > Project Notes\n\n![waves into patterns screen](https://i.ibb.co/1tDJSgVq/circadian-waves-into-patterns.png)"
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Expert #3\n\nYou can add more experts here. Just make to give them descriptive names, so the agent knows which one to connect to when it has a question. \n\n![flow and notion image](https://i.ibb.co/prLbFG0w/circadian-the-flow-and-notion.png)\n"
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Chat Memory\n\nWe use the Simple Memory node to track the conversation's context so that the user can refer to previous messages as they converse with the model."
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        "content": "## 2. AI Agent Workflow\n\n### Chooses which tool (expert) to use, depending on the user's message. Then receives the responses and synthesizes the final answer.\n\nMake sure you describe the tools available well both in the Agent's System Prompt and in the tools' descriptions. "
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## 1. Chat Trigger\n\nThe conversation will be triggered when you send a message via a webhook from your Elevenlabs AI Conversational agent. \n\n### 🚨 SEE THE NOTE AND THE LINK BELOW ON SETTING UP YOUR ELEVENLABS AGENT"
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Expert #4\n\nYou can add more experts here. Just make to give them descriptive names, so the agent knows which one to connect to when it has a question. \n\n![infranodus graph](https://i.ibb.co/hRqxn8JN/circadian-conversation-book.png)"
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        "content": "## Setting up ElevenLabs Conversational AI Agent\n\n### You will need to connect the Webhook trigger above to the Conversational AI agent of ElevenLabs. Then you can use their agent (and website widget) to converse with the experts in this workflow. Read the full tutorial at [ElevenLabs AI voice agent setup guide](https://support.noduslabs.com/hc/en-us/articles/20318967066396-How-to-Build-a-Text-Voice-AI-Agent-Chatbot-with-n8n-Elevenlabs-and-InfraNodus)\n\n1. Create an account at [https://elevenlabs.io/](https://elevenlabs.io/)\n\n2. Go to the **Conversational AI** section in the menu\n\n3. Go to **Agent > Create New Agent > Use Blank Template**\n\n4. In the **System Prompt** of the agent put the following text modified to relate to your content:\n\n```\nYou are well-versed on ... through the tools you have access to.\n1) When you receive a user's message, first answer something like \"I am consulting my knowledge and will respond soon\" or \"let me think about it and i'll get back to you\" or any other similar in meaning phrase\n2) Then forward the user's message, without any changes, to the knowledge_base tool.\n3) When you receive a response from the knowledge_base use this answer to respond to the user, use exactly the answer you received to respond.\nIMPORTANT: make the response more suitable for the conversational format making it more succint and shorter but maintaining all the specifics.\n```\n\n5. IMPORTANT: keep the reference to the `knowledge_base` tool above to let the ElevenLabs agent know that it's exactly that tool it needs to be using to access the knowledge. Replace `...` with your content. \n\n6. In the **Tools section** of the Agent's setup, click **Create a new tool**\n\n7. The name of the tool should be: **`knowledge_base`** (as you're referring to it in the system prompt)\n\n8. In the tool's description put in: \"A knowledge base on ....\" (replace ... with your topic)\n\n9. Choose the **POST method** and in the URL put the Webhook link from the n8n workflow you created in the Step 3 above. E.g. https://infranodus.app.n8n.cloud/webhook/your_hook_url\n\n10. Scroll to the **Body Parameters** and add the following parameters that will be submitted with the POST request:\n\na.  Identifier: `prompt`, Value type: LLM prompt, Description: The user's message. \n*You will use this value in the **AI Agent** node.*\n\nb. Identifier: `sessionId`, Value type: Dynamic variable, Variable name: system__conversation_id\n*You will use this in the **Chat Memory** node to keep the history of the interaction.*\n\n10. Save the tool, save the agent\n\n11. Run the test in ElevenLabs\n\n12. Check the n8n workflow logs (from Step 3) to see if the execution went well "
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        "content": "# AI Voice Agent that Chats to Your Experts (e.g. Books, Articles, etc)\n\n## Uses InfraNodus Knowledge Graphs as Experts (AI Agent tools)\n\n## Uses ElevenLabs for voice chat functionality\n\n## Uses an orchestrating AI Agent in n8n to choose the expert based on the query\n\n[Detailed tutorial](https://support.noduslabs.com/hc/en-us/articles/20318967066396-How-to-Build-a-Text-Voice-AI-Agent-Chatbot-with-n8n-Elevenlabs-and-InfraNodus)\n\n[Video Tutorial](https://www.youtube.com/watch?v=07-HZZQs5h0)\n\n\n[![Video tutorial](https://img.youtube.com/vi/07-HZZQs5h0/sddefault.jpg)](https://www.youtube.com/watch?v=07-HZZQs5h0)"
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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## LLM to Use\n\nGoogle Flash Pro models are much faster than OpenAI. However, OpenAI can be more precise in function (expert) calling."
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