Integrate Tavily and Telegram
Connect Tavily and Telegram nodes in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!
Node stack
Supported Tavily and Telegram Nodes
Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI
Tavily - Search
Tavily Search is a robust search API tailored specifically for LLM Agents. It seamlessly integrates with diverse data sources to ensure a superior, relevant search experience. [More information and API here](https://docs.tavily.com/docs/tavily-api/introduction) Features: - Curated Results: Provides top-tier results sorted by relevance across multiple sources. - Speed & Efficiency: Optimized for performance, delivering real-time results. - Customizable: Easily refine search results based on various criteria. - Easy Integration: Simple to integrate with existing applications.
Telegram Bot
Create Telegram Chatbot and workflows using this trigger. Connect using Telegram API key and build workflows for handling incoming messages. [Full documentation](https://docs.buildship.com/trigger-nodes/telegram-bot)
Send Audio with Telegram
Send an audio file to a Telegram chat using the sendAudio API endpoint. Supports .MP3 and .M4A formats. Maximum file size is 50 MB.
Send Telegram Message
Sends a message to a Telegram chat via the Telegram Bot API
Quick start
How to integrate Tavily and Telegram
Step 1 — Add the nodes to your workflow
Create a new workflow in BuildShip, click “Add node”, and select the Tavily and Telegram actions you want to use.
Step 2 — Configure each node
Go to each node to authenticate (or add your API key) and fill in the required parameters.
Step 3 — Connect the nodes
Each node in BuildShip can connect to others by using their output variables. When you reference a variable from one node in another, BuildShip automatically links them in the workflow.
Step 4 — Test your workflow
Define your starting data in the Inputs node and choose what to do with the result in the Flow Output node. Finally, run a test to see your workflow in action.
blog posts & tutorials
Recommended Reads
Below are recommneded blogs that will help in your journey
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