RAG, GPT-4o, Telegram을 포함한 고객 지원 및 잠재 고객 수집 챗봇

• •Telegram Bot Token
• •Google Sheets API 인증 정보
• •OpenAI API Key
• •Pinecone API Key

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      "name": "n8n Creators",
      "createdAt": "2025-09-28T11:02:15.227Z",
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        "content": "## Trigger\n\nYou can switch to Publicly Available to be able to share this chatbot interface with a link. \n"
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        "content": "## AI Agent\n\nPowered with OpenAI API (GPT-4o) -- you can replace it with your favourite LLM.\n\nThe agent, after providing information requested by the user, asks for contact information and stores it in Google Sheets. \n\nThen sends a notification to Telegram with the contact information and a summary of the conversation.\n\n"
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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## RAG Database\n\nConnect a Pinecone RAG database with knowledge about your company. An OpenAI text-embedding-3-small model handles data retrieval.\n"
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      "parameters": {
        "text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Text', ``, 'string') }}",
        "chatId": "[INSERT_YOUR_CHAT_ID]",
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            "Email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', ``, 'string') }}",
            "Phone": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Phone', ``, 'string') }}",
            "Interested in": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Interested_in', ``, 'string') }}"
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        "content": "## Template Guide (Overview, Prerequisites & Customization)\n\n**What it does:** This workflow delivers a production-ready customer support and lead collection chatbot.\nIt answers company questions using Retrieval-Augmented Generation (RAG) and then captures lead details\n(name, email, phone, interest) to Google Sheets, while instantly notifying your team on Telegram with a\nshort summary of the conversation.\n\n**Target audience:** SMBs, startups, agencies and internal teams that want a 24/7 assistant which reduces\nrepetitive Q&A, improves response time and centralizes leads for follow-up.\n\n**How it works (high level):**\n1) A visitor sends a message to the chat interface (Trigger).\n2) The **Main Chat Model (GPT‑4o)** manages the conversation and tool usage.\n3) For company facts, the agent calls **Company Q&A**, which performs RAG over your **Pinecone Vector Store**.\n4) After answering, the agent politely asks for **Name / Email / Phone / Interested in**.\n5) The lead is appended to **Google Sheets** and your team receives a Telegram notification.\n6) **Conversation Memory** keeps short-term context for a smoother chat experience.\n\n**Prerequisites:**\n- OpenAI API key (GPT‑4o + text-embedding-3‑small for retrieval)\n- Pinecone project/index with your company knowledge (FAQs, docs, pricing, policies)\n- Google account with a Sheet for storing leads (columns: Name, Email, Phone, Interested in)\n- Telegram Bot Token and chat/group ID for notifications\n\n**Customization:**\n- Replace `[INSERT_YOUR_COMPANY_NAME_HERE]` in the Agent’s system message.\n- Point the Pinecone node to your index/namespace.\n- Update the Google Sheets node to your Sheet ID and tab.\n- Set your Telegram `chatId`.\n- Adjust the **context window** and **prompt tone** to match your brand.\n\n**Notes & tips:**\n- Keep your knowledge base concise and up to date to improve RAG accuracy.\n- Use validation in Sheets (optional) to ensure clean lead data.\n- Consider adding duplicate checks, CRM sync, or email follow-ups as next steps."
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