AI Documentation RAG Agent
Overview
A system that ingests selected documentation and makes it possible to ask questions about its contents.
Documents are indexed in a vector database, after which a Telegram interface retrieves relevant passages and generates an answer grounded in the connected sources.
Focus
How to ground answers in a defined knowledge corpus and make documentation search convenient in conversation.