From Static Data to Conversational AI: Building a RAG-Powered Customer Agent (Part 2)

Part 2 of this series focuses on building the interface and reasoning engine for a RAG-powered customer agent. It details how to connect a messaging front-end (Telegram Bot API) to a vector database (Pinecone) and an LLM using Make.com to provide accurate, real-time responses.