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Chat with news articles using AI analysis in Telegram with vector search

Mehedi AhamedMehedi Ahamed
140 views
2/3/2026
WebhookHubSpotAutomationSubscriptionCRM
Official Page

📌 Overview

This workflow allows users to send any newspaper or article link to a Telegram bot. The workflow then:

  1. Validates the URL
  2. Scrapes the webpage (title, description, full text, images, OG metadata)
  3. Processes it using a Vision-Language Model (VLM)
  4. Generates structured summaries & highlights
  5. Downloads images (if available)
  6. Sends a formatted report + document back to Telegram
  7. Stores the summary in a vector database
  8. Allows users to chat with the article using semantic search

Perfect for: ✔ News researchers ✔ Students ✔ Journalists ✔ Telegram-based AI assistants ✔ Automated media monitoring

🧠 What the Workflow Does

1. Telegram Trigger

  • Listens for messages from the user.
  • Detects if the message contains a valid link.

2. URL Scraper

A custom n8n Code node fetches the webpage and extracts:

  • Meta description paragraph text
  • All image sources
  • Open Graph metadata (og:title, og:image)

Returns everything as structured JSON.

3. VLM Run – Highlighter

A Vision-Language Model analyzes the scraped content and outputs:

{
  "news_summary": {
    "headline": "",
    "source_url": "",
    "published_date": "",
    "key_points": "",
    "summary": "",
    "extracted_images_url": ""
  }
}

4. Image Validation & Download

  • Checks if image URLs are valid.
  • Downloads them (if any).
  • Sends them to Telegram as documents.

5. Summary File Generation

  • Converts VLM output into a .txt report.
  • Sends the report back to the user.

6. Vector Store + Q&A Agent

  • Converts the summary into embeddings.

  • Stores the vector in an in-memory store.

  • Provides the user with a chat interface:

    • Ask anything about the newspaper article.
    • The AI agent retrieves information using the vector store.

📤 Outputs

You receive:

✔ Telegram message summary ✔ Downloadable summary .txt file ✔ Extracted images (if available) ✔ Chat-based Q&A agent to explore the newspaper details

🚀 Use Cases

  • News summarization bots
  • Media intelligence agents
  • Educational news explorers
  • Topic-based daily digest creators

Chat with News Articles using AI Analysis in Telegram with Vector Search

This n8n workflow enables you to interact with news articles using AI-powered analysis and vector search, all within your Telegram chat. It allows you to ask questions about news content, receive AI-generated summaries, and find relevant articles based on your queries.

What it does

This workflow automates the following steps:

  1. Listens for Telegram Messages: It acts as a Telegram bot, waiting for incoming messages from users.
  2. Analyzes User Input: When a message is received, it determines if the message is a query for AI analysis or a command.
  3. Processes AI Queries:
    • If the message is an AI query, it uses an OpenAI Chat Model to understand the user's request.
    • It then generates embeddings for the query using OpenAI Embeddings.
    • It performs a vector search against a "Simple Vector Store" (an in-memory vector store) to find relevant news articles.
    • A "Default Data Loader" is used to process the retrieved documents.
    • The AI Agent then synthesizes an answer based on the user's query and the retrieved article content.
    • A "Structured Output Parser" helps format the AI's response.
  4. Responds via Telegram: The AI's answer or a predefined response is sent back to the user in Telegram.
  5. Handles Non-AI Messages: If the message is not an AI query, it passes through a "No Operation" node, effectively ignoring it or allowing for future expansion.
  6. Data Transformation: It uses "Edit Fields (Set)", "HTTP Request", "Convert to File", and "Split Out" nodes, likely for preparing or processing data related to news articles before they are stored in the vector database or for fetching news content.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token (obtained from BotFather) configured as a credential in n8n.
  • OpenAI API Key: An OpenAI API key configured as a credential in n8n for the Chat Model and Embeddings.
  • News Article Data: While not explicitly defined in the provided JSON, a mechanism to feed news articles into the "Simple Vector Store" is implied. This would typically involve fetching articles (e.g., via HTTP Request), processing their content, generating embeddings, and storing them in the vector store. The current workflow focuses on the query and response part.

Setup/Usage

  1. Import the Workflow: Download the JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Telegram: Set up your Telegram Bot API credential.
    • OpenAI: Set up your OpenAI API Key credential.
  3. Populate the Vector Store: This workflow assumes the "Simple Vector Store" is already populated with news article embeddings. You will need a separate process (or extend this workflow) to:
    • Fetch news articles (e.g., using the "HTTP Request" node to an RSS feed or news API).
    • Process the article content (e.g., using "Edit Fields" and "Default Data Loader").
    • Generate embeddings for each article using the "Embeddings OpenAI" node.
    • Add these embeddings and their associated text to the "Simple Vector Store".
  4. Activate the Workflow: Once all credentials are set and the vector store is populated, activate the workflow.
  5. Chat in Telegram: Send messages to your Telegram bot. The bot will analyze your queries using AI and respond with relevant information from the news articles.

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