Community Telegram Chatbot (Unverified)

Name: Community Telegram Chatbot (Unverified)
Rating: 5.0 (1 reviews)
Author: Free N8N

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A Telegram bot that interacts with users, leveraging semantic and structured RAG for information retrieval.

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About This Workflow

Overview

This workflow sets up a Telegram bot that can engage in conversations with users. It utilizes a combination of semantic search (via Pgvector) and structured data retrieval (via SQL) to provide comprehensive answers. The bot is designed to handle various types of queries, including those related to emails and scheduled events, by integrating with external workflows.

Key Features

Telegram Integration: Acts as a Telegram bot, receiving messages and sending responses.
Semantic RAG: Employs Pgvector for semantic search on email embeddings.
Structured RAG: Integrates with an external SQL search workflow for structured data retrieval.
Message Chunking: Splits lengthy responses into manageable chunks for Telegram.
Markdown Formatting: Supports MarkdownV2 for richer message formatting.
Response Beautification: Cleans and formats bot responses.

How To Use

Set up Telegram Bot: Configure the Telegram Trigger and Telegram nodes with your bot token.
Configure PostgreSQL: Ensure your PostgreSQL database with Pgvector extension is set up and accessible, and configure the Postgres PGVector Store node with your credentials.
Integrate SQL Workflow: Link the Call the SQL composer Workflow node to your existing SQL search workflow.
Configure Embeddings: Set up the Embeddings Ollama node with your desired embedding model.
Deploy and Test: Activate the workflow and interact with the bot via Telegram.

Apps Used

Workflow JSON

{
  "id": "9a6d3d21-42e3-4a1b-977f-6f6fa9584c21",
  "name": "Community Telegram Chatbot (Unverified)",
  "nodes": 0,
  "category": "Telegram",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.