Back to Chat with PDFs on Telegram using Google Gemini and Pinecone
Card snapshot
n8n-workflow-10077.n8n.io
·
2026-10-10 07:39:22 UTC
·
f2fc68c8af429d6ec0a8e1347cb238bcad535fe695b6a07e72f6f0542d4c9114
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
{
"_source": "n8n.io",
"workflow": {
"id": 10077,
"name": "Chat with PDFs on Telegram using Google Gemini and Pinecone",
"totalViews": 952,
"price": null,
"purchaseUrl": null,
"recentViews": 4760,
"createdAt": "2025-10-23T07:08:33.118Z",
"user": {
"username": "intuz",
"verified": true
},
"readyToDemo": null,
"nodes": [
{
"id": 20,
"icon": "fa:map-signs",
"name": "n8n-nodes-base.if",
"codex": {
"data": {
"alias": [
"Router",
"Filter",
"Condition",
"Logic",
"Boolean",
"Branch"
],
"details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
"resources": {
"generic": [
{
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"icon": "\ud83c\udfed",
"label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
},
{
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"label": "2021: The Year to Automate the New You with n8n"
},
{
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},
{
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"label": "Create a toxic language detector for Telegram in 4 step"
},
{
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"label": "6 e-commerce workflows to power up your Shopify s"
},
{
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},
{
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{
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},
{
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"label": "15 Google apps you can combine and automate to increase productivity"
},
{
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"label": "How to automatically manage contributions to open-source projects"
},
{
"url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
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},
{
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"label": "5 workflow automations for Mattermost that we love at n8n"
},
{
"url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
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"label": "Why this Product Manager loves workflow automation with n8n"
},
{
"url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
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"label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n "
},
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},
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"label": "7 no-code workflow automations for Amazon Web Services"
}
],
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{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.if/"
}
]
},
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],
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"codexVersion": "1.0",
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]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "If",
"color": "#408000"
},
"iconData": {
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"type": "icon"
},
"displayName": "If",
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"name": "Core Nodes"
}
]
},
{
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"icon": "file:telegram.svg",
"name": "n8n-nodes-base.telegram",
"codex": {
"data": {
"alias": [
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"form",
"wait",
"hitl",
"approval"
],
"resources": {
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{
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"icon": "\ud83e\uddec",
"label": "Why business process automation with n8n can change your daily life"
},
{
"url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
"icon": "\ud83e\udd2c",
"label": "Create a toxic language detector for Telegram in 4 step"
},
{
"url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
"icon": "\ud83e\uddfe",
"label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
},
{
"url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
"icon": "store",
"label": "6 e-commerce workflows to power up your Shopify s"
},
{
"url": "https://n8n.io/blog/world-poetry-day-workflow/",
"icon": "\ud83d\udcdc",
"label": "Celebrating World Poetry Day with a daily poem in Telegram"
},
{
"url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
"icon": "\ud83d\udcaa",
"label": "Using Automation to Boost Productivity in the Workplace"
},
{
"url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
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"label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
},
{
"url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
"icon": "\ud83e\udd1f",
"label": "Creating scheduled text affirmations with n8n"
},
{
"url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/",
"icon": "\ud83d\udcac",
"label": "Creating Telegram Bots with n8n, a No-Code Platform"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
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{
"url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.telegram/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/"
}
]
},
"categories": [
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],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
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]
}
}
},
"group": "[\"output\"]",
"defaults": {
"name": "Telegram"
},
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"id": 6,
"name": "Communication"
},
{
"id": 28,
"name": "HITL"
}
]
},
{
"id": 50,
"icon": "file:telegram.svg",
"name": "n8n-nodes-base.telegramTrigger",
"codex": {
"data": {
"resources": {
"generic": [
{
"url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
"icon": "\ud83e\udd2c",
"label": "Create a toxic language detector for Telegram in 4 step"
},
{
"url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/",
"icon": "\ud83e\uddfe",
"label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
},
{
"url": "https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/",
"icon": "\ud83c\udfa1",
"label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
},
{
"url": "https://n8n.io/blog/creating-telegram-bots-with-n8n-a-no-code-platform/",
"icon": "\ud83d\udcac",
"label": "Creating Telegram Bots with n8n, a No-Code Platform"
},
{
"url": "https://n8n.io/blog/aws-workflow-automation/",
"label": "7 no-code workflow automations for Amazon Web Services"
}
],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.telegramtrigger/"
}
],
"credentialDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/credentials/telegram/"
}
]
},
"categories": [
"Communication"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\"]",
"defaults": {
"name": "Telegram Trigger"
},
"iconData": {
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},
"displayName": "Telegram Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 6,
"name": "Communication"
}
]
},
{
"id": 528,
"icon": "fa:exclamation-triangle",
"name": "n8n-nodes-base.stopAndError",
"codex": {
"data": {
"alias": [
"Throw error",
"Error",
"Exception"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.stopanderror/"
}
]
},
"categories": [
"Core Nodes",
"Utility"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Flow"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Stop and Error",
"color": "#ff0000"
},
"iconData": {
"icon": "exclamation-triangle",
"type": "icon"
},
"displayName": "Stop and Error",
"typeVersion": 1,
"nodeCategories": [
{
"id": 7,
"name": "Utility"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 565,
"icon": "fa:sticky-note",
"name": "n8n-nodes-base.stickyNote",
"codex": {
"data": {
"alias": [
"Comments",
"Notes",
"Sticky"
],
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\"]",
"defaults": {
"name": "Sticky Note",
"color": "#FFD233"
},
"iconData": {
"icon": "sticky-note",
"type": "icon"
},
"displayName": "Sticky Note",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 834,
"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
"codex": {
"data": {
"alias": [
"cpde",
"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
"Development",
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Code"
},
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"displayName": "Embeddings Google Gemini",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1262,
"icon": "file:google.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Google Gemini Chat Model"
},
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"displayName": "Google Gemini Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow lets users upload PDFs or ask questions in Telegram, indexes PDF content in Pinecone using Google Gemini embeddings, and answers follow-up questions with a Google Gemini chat model using retrieval-augmented generation formatted for Telegram HTML. How it works 1. Triggers when a new Telegram message is received by your bot. 2. Checks whether the message includes a document; if it does, it downloads the file from Telegram and forces the binary metadata to application/pdf. 3. Splits the PDF text into overlapping chunks, generates embeddings with Google Gemini, and inserts the vectors into a Pinecone index. 4. Sends a Telegram confirmation message indicating how many PDF pages were saved to Pinecone. 5. If the message is a text question, retrieves relevant context from the Pinecone index and uses the Google Gemini chat model to generate an answer constrained to that context. 6. Sends the generated answer back to Telegram using HTML parse mode formatting. Setup 1. Create a Telegram bot with BotFather and add Telegram credentials in n8n for the Telegram Trigger and Telegram nodes. 2. Add a Google Gemini (PaLM) API credential for both the embeddings and chat model nodes. 3. Set up a Pinecone account, create (or select) an index named telegram, and add your Pinecone credentials in n8n. 4. Activate the workflow and start a chat with your Telegram bot to upload a PDF for indexing and then send text questions to query it. Requirements - n8n Instance & Required Nodes: An active n8n account (Cloud or self-hosted). - Telegram Account: A Telegram bot created via the BotFather, along with its API token. - Google Gemini AI Account: A Google Cloud account with the Vertex AI API enabled and an associated API Key. - Pinecone Account: A Pinecone account with an API key. Additional info Connect with us: Website: https://www.intuz.com/n8n-workflow-automation-templates/ Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz For Custom Workflow Automation Get Started: https://n8n.partnerlinks.io/intuz"
}
}