How to Make a Search Engine in Python: Step-by-Step Tutorial

Building a search engine in Python involves four key steps: data collection and preprocessing, document creation and indexation, implementing search functionality, and ranking results. The tutorial covers using libraries like Beautiful Soup for web scraping, NLTK for text preprocessing, and LangChain for document handling. It compares different approaches including custom implementations with vector databases like Chroma versus using Meilisearch's Python SDK, which simplifies the process by providing built-in indexing, search, and ranking capabilities. The guide also reviews popular open-source search engines including Meilisearch, Qdrant, and Elasticsearch, highlighting their Python integration capabilities.