Chat with PDF Files via Telegram Using Pinecone and Groq

This n8n workflow lets users upload any PDF directly into Telegram and instantly ask questions about its contents. The document is automatically chunked, embedded, and stored in a Pinecone vector database, then a Groq-powered language model retrieves the relevant sections to answer queries in real time. It's a fast, low-cost RAG solution for teams who need to query contracts, manuals, reports, or research papers without opening the file, all from a familiar Telegram chat window. Great for consultants, students, and support teams handling frequent document lookups.

Category: RAG & Knowledge Base