How to create an AI bot in Telegram
Learn how to create an AI chatbot for Telegram with our easy-to-follow guide. Ideal for users who are interested in exploring the realm of bot development without coding.
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Webhook and Telegram integration
Save yourself the work of writing custom integrations for Webhook and Telegram and use n8n instead. Build adaptable and scalable Development, Core Nodes, and Communication workflows that work with your technology stack. All within a building experience you will love.
How to connect Webhook and Telegram
- Step 1: Create a new workflow
- Step 2: Add and configure nodes
- Step 3: Connect
- Step 4: Customize and extend your integration
- Step 5: Test and activate your workflow
Step 1: Create a new workflow and add the first step
In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Step 2: Add and configure Webhook and Telegram nodes
You can find Webhook and Telegram in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Webhook and Telegram nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect Webhook and Telegram
A connection establishes a link between Webhook and Telegram (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.
Step 4: Customize and extend your Webhook and Telegram integration
Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Webhook and Telegram with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your Webhook and Telegram workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Webhook to Telegram or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.
Popular Webhook and Telegram workflows
+2
All-in-One Telegram/Baserow AI Assistant 🤖🧠 Voice/Photo/Save Notes/Long Term Mem
Telegram Personal Assistant with Long-Term Memory & Note-Taking
This n8n workflow transforms your Telegram bot into a powerful personal assistant that handles voice, photo, and text messages. The assistant uses AI to interpret messages, save important details as long-term memories or notes in a Baserow database, and recall information for future interactions.
🌟 How It Works
Message Reception & Routing
Telegram Integration: The workflow is triggered by incoming messages on your Telegram bot.
Dynamic Routing: A switch node inspects the message to determine whether it's voice, text, or photo (with captions) and routes it for the appropriate processing.
Content Processing
Voice Messages: Audio files are retrieved and sent to an AI transcription node to convert spoken words into text.
Text Messages: Text is directly captured and prepared for analysis.
Photos: If an image is received, the bot fetches the file (and caption, if provided) and uses an AI-powered image analysis node to extract relevant details.
AI-Powered Agent & Memory Management
The core AI agent (powered by GPT-4o-mini) processes the incoming message along with any previous conversation history stored in PostgreSQL memory buffers.
Long-Term Memory: When a message contains personal or noteworthy information, the assistant uses a dedicated tool to save this data as a long-term memory in Baserow.
Note-Taking: For specific instructions or reminders, the assistant saves concise notes in a separate Baserow table.
The AI agent follows defined rules to decide which details are saved as memories and which are saved as notes.
Response Generation
After processing the message and updating memory/notes as needed, the AI agent crafts a contextual and personalized response.
The response is sent back to the user via Telegram, ensuring smooth and natural conversation flow.
🚀 Key Features
Multimodal Input:**
Seamlessly handles voice, photo (with captions), and text messages.
Long-Term Memory & Note-Taking:**
Uses a Baserow database to store personal details and notes, enhancing conversational context over time.
AI-Driven Contextual Responses:**
Leverages an AI agent to generate personalized, context-aware replies based on current input and past interactions.
User Security & Validation:**
Incorporates validation steps to verify the user's Telegram ID before processing, ensuring secure and personalized interactions.
Easy Baserow Setup:**
Comes with a clear setup guide and sample configurations to quickly integrate Baserow for managing memories and notes.
🔧 Setup Guide
Telegram Bot Setup:
Create your bot via BotFather and obtain the Bot Token.
Configure the Telegram webhook in n8n with your bot's token and URL.
Baserow Database Configuration:
Memory Table:
Create a workspace titled "Memories and Notes".
Set up a table (e.g., "Memory Table") with at least two fields:
Memory (long text)
Date Added (US date format with time)
Notes Table:
Duplicate the Memory Table and rename it to "Notes Table".
Change the first field's name from "Memory" to "Notes".
n8n Workflow Import & Configuration:
Import the workflow JSON into your n8n instance.
Update credentials for Telegram, Baserow, OpenAI, and PostgreSQL (for memory buffering) as needed.
Adjust node settings if you need to customize AI agent prompts or memory management rules.
Testing & Deployment:
Test your bot by sending various message types (text, voice, photo) to confirm that the workflow processes them correctly, updates Baserow, and returns the appropriate response.
Monitor logs to ensure that memory and note entries are correctly stored and retrieved.
✨ Example Interactions
Voice Message Processing:**
User sends a voice note requesting a reminder.
Bot Response: "Thanks for your message! I've noted your reminder and saved it for future reference."
Photo with Caption:**
User sends a photo with the caption "Save this recipe for dinner ideas."
Bot Response: "Got it! I've saved this recipe along with the caption for you."
Text Message for Memory Saving:**
User: "I love hiking on weekends."
Bot Response: "Noted! I’ll remember your interest in hiking."
Retrieving Information:**
User asks: "What notes do I have?"
Bot Response: "Here are your latest notes: [list of saved notes]."
🛠️ Resources & Next Steps
Telegram Bot Configuration:** Telegram BotFather Guide
n8n Documentation:** n8n Docs
Community Forums:** Join discussions and share your customizations!
This workflow not only streamlines message processing but also empowers users with a personal AI assistant that remembers details over time. Customize the rules and responses further to fit your unique requirements and enjoy a more engaging, intelligent conversation experience on Telegram!
+8
🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant
🤖 AI-Powered RAG Chatbot with Google Drive Integration
This workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.
How It Works
Document Processing & Storage 📚
Retrieves documents from a specified Google Drive folder
Processes and splits documents into manageable chunks
Extracts metadata using AI for enhanced search capabilities
Stores document vectors in Qdrant for efficient retrieval
Intelligent Chat Interface 💬
Provides a conversational interface powered by Google Gemini
Uses RAG to retrieve relevant context from stored documents
Maintains chat history in Google Docs for reference
Delivers accurate, context-aware responses
Vector Store Management 🗄️
Features secure delete operations with human verification
Includes Telegram notifications for important operations
Maintains data integrity with proper version control
Supports batch processing of documents
Setup Steps
Configure API Credentials:
Set up Google Drive & Docs access
Configure Gemini AI API
Set up Qdrant vector store connection
Add Telegram bot for notifications
Add OpenAI Api Key to the 'Delete Qdrant Points by File ID' node
Configure Document Sources:
Set Google Drive folder ID
Define Qdrant collection name
Set up document processing parameters
Test and Deploy:
Verify document processing
Test chat functionality
Confirm vector store operations
Check notification system
This workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.
+3
✨🔪 Advanced AI Powered Document Parsing & Text Extraction with Llama Parse
Description
This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actionable insights through multiple channels.
How It Works
Document Ingestion & Processing 📄
Monitors Gmail for incoming attachments or accepts documents via webhook
Validates file formats against supported LlamaParse extensions
Uploads documents to LlamaParse for advanced text extraction
Stores original documents in Google Drive for reference
Intelligent Document Analysis 🧠
Automatically classifies document types (invoices, reports, etc.)
Extracts structured data using customized AI prompts
Generates comprehensive document summaries with key insights
Converts unstructured text into organized JSON data
Invoice Processing Automation 💼
Extracts critical invoice details (dates, amounts, line items)
Organizes financial data into structured formats
Calculates tax breakdowns, subtotals, and payment information
Maintains detailed records for accounting purposes
Multi-Channel Delivery 📱
Saves extracted data to Google Sheets for tracking and analysis
Sends concise summaries via Telegram for immediate review
Creates searchable document archives in Google Drive
Updates spreadsheets with structured financial information
Setup Steps
Configure API Credentials 🔑
Set up LlamaParse API connection
Configure Gmail OAuth for email monitoring
Set up Google Drive and Sheets integrations
Add Telegram bot credentials for notifications
Customize AI Processing ⚙️
Adjust document classification parameters
Modify extraction templates for specific document types
Fine-tune summary generation prompts
Customize invoice data extraction schema
Test and Deploy 🚀
Test with sample documents of various formats
Verify data extraction accuracy
Confirm notification delivery
Monitor processing pipeline performance
🐋🤖 DeepSeek AI Agent + Telegram + LONG TERM Memory 🧠
This n8n workflow template is designed to integrate a DeepSeek AI agent with Telegram, incorporating long-term memory capabilities for personalized and context-aware responses. Here's a detailed breakdown:
Core Features
Telegram Integration
Uses a webhook to receive messages from Telegram users.
Validates user identity and message content before processing.
AI-Powered Responses
Employs DeepSeek's AI models for conversational interactions.
Includes memory capabilities to personalize responses based on past interactions.
Error Handling
Sends an error message if the input cannot be processed.
Model Options 🧠
DeepSeek-V3 Chat**: Handles general conversational tasks.
DeepSeek-R1 Reasoning**: Provides advanced reasoning capabilities for complex queries.
Memory Buffer Window**: Maintains session context for ongoing conversations.
Quick Setup 🛠️
Telegram Webhook Configuration
Set up a webhook using the Telegram Bot API:
https://api.telegram.org/bot{my_bot_token}/setWebhook?url={url_to_send_updates_to}
Replace {my_bot_token} with your bot's token and {url_to_send_updates_to} with your n8n webhook URL.
Verify the webhook setup using:
https://api.telegram.org/bot{my_bot_token}/getWebhookInfo
DeepSeek API Configuration
Base URL: https://api.deepseek.com
Obtain your API key from the DeepSeek platform.
Implementation Details 🔧
User Validation
The workflow validates the user's first name, last name, and ID using data from incoming Telegram messages.
Only authorized users proceed to the next steps.
Message Routing
Routes messages based on their type (text, audio, or image) using a switch node.
Ensures appropriate handling for each message format.
AI Agent Interaction
Processes text input using DeepSeek-V3 or DeepSeek-R1 models.
Customizable system prompts define the AI's behavior and rules, ensuring user-centric and context-aware responses.
Memory Management
Retrieves long-term memories stored in Google Docs to enhance personalization.
Saves new memories based on user interactions, ensuring continuity across sessions.
🤖 Telegram Messaging Agent for Text/Audio/Images
🤖 This n8n workflow creates an intelligent Telegram bot that processes multiple types of messages and provides automated responses using AI capabilities. The bot serves as a personal assistant that can handle text, voice messages, and images through a sophisticated processing pipeline.
Core Components
Message Reception and Validation 📥
🔄 Implements webhook-based message reception for real-time processing
🔐 Features a robust user validation system that verifies sender credentials
🔀 Supports both testing and production webhook endpoints for development flexibility
Message Processing Pipeline ⚡
🔄 Uses a smart router to detect and categorize incoming message types
📝 Processes three main message formats:
💬 Text messages
🎤 Voice recordings
📸 Images with captions
AI Integration 🧠
🤖 Leverages OpenAI's GPT-4 for message classification and processing
🗣️ Incorporates voice transcription capabilities for audio messages
👁️ Features image analysis using GPT-4 Vision API for processing visual content
Technical Architecture
Webhook Management 🔌
🌐 Maintains separate endpoints for testing and production environments
📊 Implements automatic webhook status monitoring
⚡ Provides real-time webhook configuration updates
Error Handling ⚠️
🔍 Features comprehensive error detection and reporting
🔄 Implements fallback mechanisms for unprocessable messages
💬 Provides user feedback for failed operations
Message Classification System 📋
🏷️ Categorizes incoming messages into tasks and general conversation
🔀 Implements separate processing paths for different message types
🧩 Maintains context awareness across message processing
Security Features
User Authentication 🔒
✅ Validates user credentials against predefined parameters
👤 Implements first name, last name, and user ID verification
🚫 Restricts access to authorized users only
Response System
Intelligent Responses 💡
🤖 Generates contextual responses based on message classification
⚡AI-Powered YouTube Video Summarization & Analysis
-- Disclaimer: This workflow uses a community node and therefore only works for self-hosted n8n users --
Transform YouTube videos into comprehensive summaries and structured analysis instantly. This n8n workflow automatically extracts, processes, and analyzes video transcripts to deliver clear, organized insights without watching the entire video.
Time-Saving Features
🚀 Instant Processing
Simply provide a YouTube URL and receive a structured summary within seconds, eliminating the need to watch lengthy videos. Perfect for research, learning, or content analysis.
🤖 AI-Powered Analysis
Leverages GPT-4o-mini to analyze video transcripts, organizing key concepts and insights into a clear, hierarchical structure with main topics and essential points.
Smart Processing Pipeline
📝 Automated Transcript Extraction
Supports public YouTube video
Handles multiple URL formats
Extracts complete video transcripts automatically
🧠 Intelligent Content Organization
Breaks down content into main topics
Highlights key concepts and terminology
Maintains technical accuracy while improving clarity
Structures information logically with markdown formatting
Perfect For
📚 Researchers & Students
Quick comprehension of educational content and lectures without watching entire videos.
💼 Business Professionals
Efficient analysis of industry talks, presentations, and training materials.
🎯 Content Creators
Rapid research and competitive analysis of video content in your niche.
Technical Implementation
🔄 Workflow Components
Webhook endpoint for URL submission
YouTube API integration for video details
Transcript extraction system
GPT-4 powered analysis engine
Telegram notification system (optional)
Transform your video content consumption with an intelligent system that delivers structured, comprehensive summaries while saving hours of viewing time.
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Build your own Webhook and Telegram integration
Create custom Webhook and Telegram workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Webhook and Telegram integration details
Webhook
Webhooks are automatic notifications that apps send when something occurs. They are sent to a certain URL, which is effectively the app's phone number or address, and contain a message or payload. Polling is nearly never quicker than webhooks, and it takes less effort from you.
Other integrations with Telegram
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6 e-commerce workflows to power up your Shopify store
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How to automate your reading habit just in time for World Poetry Day
Learn how to create a no-code workflow that gets international poems, translates them into one language, and sends you a poem in Telegram every day.
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FAQs
Can Webhook connect with Telegram?
Can I use Webhook’s API with n8n?
Can I use Telegram’s API with n8n?
Is n8n secure for integrating Webhook and Telegram?
How to get started with Webhook and Telegram integration in n8n.io?
Need help setting up your Webhook and Telegram integration?
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