A developer built a web search engine from scratch in two months, utilizing 3 billion neural embeddings to enhance search quality and relevance. The project aimed to address the shortcomings of existing search engines by leveraging advanced natural language processing techniques to better understand user intent and provide high-quality content. Key aspects included a GPU cluster for embedding generation, a robust crawling system, and a focus on semantic text extraction and query handling.