Operations & Systems
Telegram Chatbot with YouTube and PDF Intelligence
This workflow creates a Telegram chatbot that uses AI and a vector store to answer questions and can ingest new information from YouTube transcripts, PDFs, or voice notes, enabling a smart, knowledge-building conversational agent.
Built · ~6.5 hours saved per week
Anyone needing a smart Telegram chatbot that learns from YouTube videos and PDF documents.
This workflow creates a Telegram chatbot. It answers questions using information from YouTube transcripts and PDF files you upload. The bot also remembers past conversations.
Set up Telegram, OpenAI, Supabase, and Apify accounts. Then, connect them to this workflow.
You need accounts for Telegram, OpenAI, Supabase, and Apify. This includes API keys for these services.
You can change the AI model, the database, and the tools the chatbot uses. You can also adjust how the chatbot processes information from YouTube and PDFs.
Key Technologies: Telegram,OpenAI,Supabase,Apify,Postgres
Automation Value: Automatically creates a knowledge base from various sources. Provides quick answers to user questions. Reduces manual effort in information retrieval. Keeps a record of past conversations for better context.
Best Practices: Make sure your API keys are secure. Regularly check the vector store for outdated information. Train the AI with clear and concise instructions.
Tags: Chatbot, Leadership Automations, Telegram, Supabase, AI Assistant
Integrations: AI Agent, OpenAI, Postgres, Supabase, HTTP, Telegram