How to Build a Semantic Search Engine
A semantic search engine is a sophisticated search engine that recognizes the meaning and context of a search query and returns relevant results. Instead of standard search engines that focus on keyword matching, a semantic search engine employs natural language processing and machine learning techniques to give more accurate and tailored search results. If you're interested in building a semantic search engine, here are some steps to follow: Identify your target audience and their needs: Before building a search engine, you need to understand your users and what they are searching for. This will help you determine the type of content and data sources you need to include in your search engine index. Gather and clean your data: To build a semantic search engine, you must collect and organize large amounts of data from various sources such as web pages, documents, and databases. Once you have collected the data, you must clean it and remove any duplicates or irrelevant information....