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

📌 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