This document provides instructions on how to build a basic search engine in two days. It discusses implementing semantic search capabilities to better understand user intent through techniques like handling synonyms, generalizations, concept matching and natural language queries. It also outlines the architecture required, including using Flask as a web framework, Spacy for query parsing, Gensim and Fasttext for word embeddings, and generating word clouds and results. Feedback from testing is suggested to improve reliability and user-friendliness.