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

Workflow overview

Why this workflow matters

Improves internal consulting operations and productivity. Supports knowledge capture and document intelligence use cases.

📌 Overview This workflow allows users to send any newspaper or article link to a Telegram bot. The workflow then: Validates the URL Scrapes the webpage (title, description, full text, images, OG metadata) Processes it using a Vision-Language Model (VLM) Generates structured summaries & highlights Downloads images (if available) Sends a formatted report + document back to Telegram Stores the summary in a vector database 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 AlekSystem 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

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