Telegram-Driven PDF Data Ingestion and Retrieval Workflow

This n8n workflow facilitates seamless integration between Telegram, OpenAI, and Pinecone to enable efficient PDF document management and querying via chat messages. It begins with listening for new Telegram messages, detects if a message contains a document, and processes PDF files by fetching, splitting into chunks, and storing in a Pinecone vector database. The stored data can then be retrieved for answering user queries through language models. The workflow is ideal for automating document ingestion, enabling quick data retrieval, and building an interactive chatbot capable of answering questions based on uploaded PDFs. This setup is useful for scenarios like customer support, research automation, or knowledge base management directly from messaging platforms.