A simple guide to AI search

The text discusses various technologies involved in search engines and artificial intelligence (AI). Keyword search engines like Apache Lucene use statistical techniques to match queries with indexed items. Semantic search involves understanding the meaning of words and phrases, using natural language processing (NLP) techniques. AI search is a broader term that includes semantic search and other machine learning techniques for delivering search results. Generative AI technologies like OpenAI's ChatGPT generate new content based on input, while search engines use AI to improve search results without creating novel content. Large language models (LLMs) are used in both generative and search AI. Vectorization is the process of converting words into vectors for processing, and vector search uses machine learning models to find related objects with similar characteristics. Hybrid search combines vector search with keyword search for improved speed and accuracy.