How the Telegram PDF Assistant Works
Seamless Document Intelligence Through Vector Database Technology
Technical Architecture Made Simple:
Document Ingestion: When a PDF is sent to your Telegram bot, the workflow automatically extracts and processes the text
Vector Embedding: The content is transformed into a vector representation and stored in Pinecone's vector database
Query Processing: When questions are asked, the system finds the most relevant sections in the document
AI Response Generation: Using a Groq language model, the system crafts natural, accurate responses based on the document content
Easy Setup: The workflow requires minimal technical configuration—just create a Telegram bot through BotFather and connect it to the workflow. The system handles all the complex document processing automatically.