daniellevenstein/aws-documentation-rag repository overview

An AI-powered Retrieval-Augmented Generation (RAG) chatbot built for answering technical AWS questions using live documentation embeddings and semantic search.

The system crawls selected AWS documentation pages, processes and chunks the content, generates vector embeddings, and stores them in a FAISS index for fast retrieval. When a user submits a question, the chatbot retrieves the most relevant documentation fragments and uses them as grounded context for response generation.