dasini.net – Diary of a MySQL expert

Discover how to build an AI-powered search engine for your applications using HeatWave GenAI. This approach leverages large language models (LLMs) for semantic search, offering a smarter alternative to traditional SQL and full-text search methods. By using embeddings—vector representations of words—the search engine understands context and intent, delivering more relevant results.

In this article, I’ll guide you through building an AI-powered search for a WordPress blog using HeatWave GenAI, focusing on its in-database LLMs and vector store capabilities. We’ll create embeddings for post titles and excerpts to enable semantic search, ensuring users find the most relevant content quickly.