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integrationGoogle Gemini Chat Model node
integrationTelegram node

Google Gemini Chat Model and Telegram integration

Save yourself the work of writing custom integrations for Google Gemini Chat Model and Telegram and use n8n instead. Build adaptable and scalable AI, Langchain, and Communication workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Gemini Chat Model 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.

Google Gemini Chat Model and Telegram integration: Create a new workflow and add the first step

Step 2: Add and configure Google Gemini Chat Model and Telegram nodes

You can find Google Gemini Chat Model 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 Google Gemini Chat Model and Telegram nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Gemini Chat Model and Telegram integration: Add and configure Google Gemini Chat Model and Telegram nodes

Step 3: Connect Google Gemini Chat Model and Telegram

A connection establishes a link between Google Gemini Chat Model 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.

Google Gemini Chat Model and Telegram integration: Connect Google Gemini Chat Model and Telegram

Step 4: Customize and extend your Google Gemini Chat Model 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 Google Gemini Chat Model and Telegram with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Gemini Chat Model and Telegram integration: Customize and extend your Google Gemini Chat Model and Telegram integration

Step 5: Test and activate your Google Gemini Chat Model and Telegram workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Gemini Chat Model 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.

Google Gemini Chat Model and Telegram integration: Test and activate your Google Gemini Chat Model and Telegram workflow

Proxmox AI Agent with n8n and Generative AI Integration

Proxmox AI Agent with n8n and Generative AI Integration

This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google Gemini), the workflow converts natural language commands into API calls, enabling seamless management of your Proxmox nodes, VMs, and clusters.

Watch Video on Youtube

How It Works
Trigger Mechanism
The workflow can be triggered through multiple channels like chat (Telegram, email, or n8n's built-in chat).
Interact with the AI agent conversationally.

AI-Powered Parsing
A connected AI model (Google Gemini or other compatible models like OpenAI or Claude) processes your natural language input to determine the required Proxmox API operation.

API Call Generation
The AI parses the input and generates structured JSON output, which includes:
response_type: The HTTP method (GET, POST, PUT, DELETE).
url: The Proxmox API endpoint to execute.
details: Any required payload parameters for the API call.

Proxmox API Execution
The structured output is used to make HTTP requests to the Proxmox VE API. The workflow supports various operations, such as:
Retrieving cluster or node information.
Creating, deleting, starting, or stopping VMs.
Migrating VMs between nodes.
Updating or resizing VM configurations.

Response Formatting
The workflow formats API responses into a user-friendly summary. For example:
Success messages for operations (e.g., "VM started successfully").
Error messages with missing parameter details.

Extensibility
You can enhance the workflow by connecting additional triggers, external services, or AI models. It supports:
Telegram/Slack integration for real-time notifications.
Backup and restore workflows.
Cloud monitoring extensions.

Key Features
Multi-Channel Input**: Use chat, email, or custom triggers to communicate with the AI agent.
Low-Code Automation**: Easily customize the workflow to suit your Proxmox environment.
Generative AI Integration**: Supports advanced AI models for precise command interpretation.
Proxmox API Compatibility**: Fully adheres to Proxmox API specifications for secure and reliable operations.
Error Handling**: Detects and informs you of missing or invalid parameters in your requests.

Example Use Cases
Create a Virtual Machine
Input: "Create a VM with 4 cores, 8GB RAM, and 50GB disk on psb1."
Action: Sends a POST request to Proxmox to create the VM with specified configurations.

Start a VM
Input: "Start VM 105 on node psb2."
Action: Executes a POST request to start the specified VM.

Retrieve Node Details
Input: "Show the memory usage of psb3."
Action: Sends a GET request and returns the node's resource utilization.

Migrate a VM
Input: "Migrate VM 202 from psb1 to psb3."
Action: Executes a POST request to move the VM with optional online migration.

Pre-Requisites
Proxmox API Configuration
Enable the Proxmox API and generate API keys in the Proxmox Data Center.
Use the Authorization header with the format:
PVEAPIToken=<user>@<realm>!<token-id>=<token-value>

n8n Setup
Add Proxmox API credentials in n8n using Header Auth.
Connect a generative AI model (e.g., Google Gemini) via the relevant credential type.

Access the Workflow
Import this template into your n8n instance.
Replace placeholder credentials with your Proxmox and AI service details.

Additional Notes
This template is designed for Proxmox 7.x and above.
For advanced features like backup, VM snapshots, and detailed node monitoring, you can extend this workflow.
Always test with a non-production Proxmox environment before deploying in live systems.

Nodes used in this workflow

Popular Google Gemini Chat Model and Telegram workflows

+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.
+4

🤖🧑‍💻 AI Agent for Top n8n Creators Leaderboard Reporting

This n8n workflow is designed to automate the aggregation, processing, and reporting of community statistics related to n8n creators and workflows. Its primary purpose is to generate insightful reports that highlight top contributors, popular workflows, and key trends within the n8n ecosystem. Here's how it works and why it's important: How It Works Data Retrieval: The workflow fetches JSON data files from a GitHub repository containing statistics about creators and workflows. It uses HTTP requests to access these files dynamically based on pre-defined global variables. Data Processing: The data is parsed into separate streams for creators and workflows. It processes the data to identify key metrics such as unique weekly and monthly inserters/visitors. Ranking and Filtering: The workflow sorts creators by their weekly inserts and workflows by their popularity. It selects the top 10 creators and top 50 workflows for detailed analysis. Report Generation: Using AI tools like GPT-4 or Google Gemini, the workflow generates a Markdown report summarizing trends, contributors, and workflow statistics. The report includes tables with detailed metrics (e.g., unique visitors, inserters) and insights into why certain workflows are popular. Distribution: The report is saved locally or uploaded to Google Drive. It can also be shared via email or Telegram for broader accessibility. Automation: A schedule trigger ensures the workflow runs daily or as needed, keeping the reports up-to-date. Why It's Important Community Insights**: This workflow provides actionable insights into the n8n community by identifying impactful contributors and popular workflows. This fosters collaboration and innovation within the ecosystem. Time Efficiency**: By automating data collection, processing, and reporting, it saves significant time and effort for community managers or administrators. Recognition of Contributors**: Highlighting top creators encourages engagement and recognizes individuals driving value in the community. Trend Analysis**: The workflow helps uncover patterns in usage, enabling better decision-making for platform improvements or feature prioritization. Scalability**: With its modular design, this workflow can be easily adapted to include additional metrics or integrate with other tools.

#️⃣Nostr #damus AI Powered Reporting + Gmail + Telegram

The n8n Nostr Community Node is a tool that integrates Nostr functionality into n8n workflows, allowing users to interact with the Nostr protocol seamlessly. It provides both read and write capabilities and can be used for various automation tasks. Disclaimer This node is ideal for self-hosted n8n setups, as ++community nodes are not supported on n8n cloud++. It opens up exciting possibilities for integrating workflows with the decentralized Nostr protocol. n8n Community Node for Nostr n8n-nodes-nostrobots Features Write Operations**: Send notes and events (kind1) to the Nostr network. Read Operations**: Fetch events based on criteria such as event ID, public key, hashtags, mentions, or search terms. Utility Functions**: Convert events into different formats like naddr or nevent and handle key transformations between bech32 and hex formats. Trigger Events**: Monitor the Nostr network for specific mentions or events and trigger workflows automatically. Use Cases Automating note posting without exposing private keys. Setting up notifications for mentions or specific events. Creating bots or AI assistants that respond to mentions on Nostr. Installation Install n8n on your system. Add the Nostr Community Node to your instance. Configure your credentials using a Nostr secret key (supports bech32 or hex formats).
+2

Proxmox AI Agent with n8n and Generative AI Integration

Proxmox AI Agent with n8n and Generative AI Integration This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google Gemini), the workflow converts natural language commands into API calls, enabling seamless management of your Proxmox nodes, VMs, and clusters. Watch Video on Youtube How It Works Trigger Mechanism The workflow can be triggered through multiple channels like chat (Telegram, email, or n8n's built-in chat). Interact with the AI agent conversationally. AI-Powered Parsing A connected AI model (Google Gemini or other compatible models like OpenAI or Claude) processes your natural language input to determine the required Proxmox API operation. API Call Generation The AI parses the input and generates structured JSON output, which includes: response_type: The HTTP method (GET, POST, PUT, DELETE). url: The Proxmox API endpoint to execute. details: Any required payload parameters for the API call. Proxmox API Execution The structured output is used to make HTTP requests to the Proxmox VE API. The workflow supports various operations, such as: Retrieving cluster or node information. Creating, deleting, starting, or stopping VMs. Migrating VMs between nodes. Updating or resizing VM configurations. Response Formatting The workflow formats API responses into a user-friendly summary. For example: Success messages for operations (e.g., "VM started successfully"). Error messages with missing parameter details. Extensibility You can enhance the workflow by connecting additional triggers, external services, or AI models. It supports: Telegram/Slack integration for real-time notifications. Backup and restore workflows. Cloud monitoring extensions. Key Features Multi-Channel Input**: Use chat, email, or custom triggers to communicate with the AI agent. Low-Code Automation**: Easily customize the workflow to suit your Proxmox environment. Generative AI Integration**: Supports advanced AI models for precise command interpretation. Proxmox API Compatibility**: Fully adheres to Proxmox API specifications for secure and reliable operations. Error Handling**: Detects and informs you of missing or invalid parameters in your requests. Example Use Cases Create a Virtual Machine Input: "Create a VM with 4 cores, 8GB RAM, and 50GB disk on psb1." Action: Sends a POST request to Proxmox to create the VM with specified configurations. Start a VM Input: "Start VM 105 on node psb2." Action: Executes a POST request to start the specified VM. Retrieve Node Details Input: "Show the memory usage of psb3." Action: Sends a GET request and returns the node's resource utilization. Migrate a VM Input: "Migrate VM 202 from psb1 to psb3." Action: Executes a POST request to move the VM with optional online migration. Pre-Requisites Proxmox API Configuration Enable the Proxmox API and generate API keys in the Proxmox Data Center. Use the Authorization header with the format: PVEAPIToken=<user>@<realm>!<token-id>=<token-value> n8n Setup Add Proxmox API credentials in n8n using Header Auth. Connect a generative AI model (e.g., Google Gemini) via the relevant credential type. Access the Workflow Import this template into your n8n instance. Replace placeholder credentials with your Proxmox and AI service details. Additional Notes This template is designed for Proxmox 7.x and above. For advanced features like backup, VM snapshots, and detailed node monitoring, you can extend this workflow. Always test with a non-production Proxmox environment before deploying in live systems.

Hacker News Throwback Machine - See What Was Hot on This Day, Every Year!

This is a simple workflow that grabs HackerNews front-page headlines from today's date across every year since 2007 and uses a little AI magic (Google Gemini) to sort 'em into themes, sends a neat Markdown summary on Telegram. How it works Runs daily, grabs Hacker News front page for this day across every year since 2007. Pulls headlines & dates. Uses Google Gemini to sort headlines into topics & spot trends. Sends a Markdown summary to Telegram. Set up steps Clone the workflow. Add your Google Gemini API key. Add your Telegram bot token and chat ID. **Built on Day-01 as part of the #100DaysOfAgenticAi Fork it, tweak it, have fun!**

Build your own Google Gemini Chat Model and Telegram integration

Create custom Google Gemini Chat Model 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.

Telegram supported actions

Get
Get up to date information about a chat
Get Administrators
Get the Administrators of a chat
Get Member
Get the member of a chat
Leave
Leave a group, supergroup or channel
Set Description
Set the description of a chat
Set Title
Set the title of a chat
Answer Query
Send answer to callback query sent from inline keyboard
Answer Inline Query
Send answer to callback query sent from inline bot
Get
Get a file
Delete Chat Message
Delete a chat message
Edit Message Text
Edit a text message
Pin Chat Message
Pin a chat message
Send Animation
Send an animated file
Send Audio
Send a audio file
Send Chat Action
Send a chat action
Send Document
Send a document
Send Location
Send a location
Send Media Group
Send group of photos or videos to album
Send Message
Send a text message
Send Photo
Send a photo
Send Sticker
Send a sticker
Send Video
Send a video
Unpin Chat Message
Unpin a chat message

FAQs

  • Can Google Gemini Chat Model connect with Telegram?

  • Can I use Google Gemini Chat Model’s API with n8n?

  • Can I use Telegram’s API with n8n?

  • Is n8n secure for integrating Google Gemini Chat Model and Telegram?

  • How to get started with Google Gemini Chat Model and Telegram integration in n8n.io?

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Why use n8n to integrate Google Gemini Chat Model with Telegram

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Pause your workflow to wait for external events.

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Your data is displayed alongside your settings, making edge cases easy to track down.

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