Full-Text Search Engine in 150 Lines of Python

This article demonstrates building a functional full-text search engine using less than 150 lines of Python code. It starts by downloading English Wikipedia abstracts, then uses an inverted index and TF-IDF (Term Frequency-Inverse Document Frequency) for indexing and ranking. The process covers data preparation, tokenization, filtering, index construction, and search functionality, explaining each step's principles. The result is a surprisingly fast search engine capable of searching and ranking millions of documents, showcasing the core mechanics of full-text search in a concise manner.