The project implements a semantic search engine over Wikipedia by embedding articles using the BGE-M3 multilingual model and indexing 144+ million vectors in Upstash Vector database. It provides cross-lingual search capabilities and integrates with a RAG chatbot built on the Upstash RAG Chat SDK, which leverages Meta’s Llama 3 model to generate context-aware responses from retrieved Wikipedia content.