Build a RAG Pipeline Inside Joomla for Intelligent Site Search

Joomla's built-in search has always had the same fundamental limitation. It is keyword-based. A visitor types "how do I reset my account" and the search engine looks for articles containing those exact words. If your article uses the phrase "recover your login credentials" instead, it does not show up. The visitor gets no results, concludes your site does not have the answer, and leaves. This is not a Joomla problem specifically. It is what keyword search does. It matches strings, not meaning. RAG, Retrieval-Augmented Generation, solves this at the architecture level. Instead of matching keywords, it converts both your content and the search query into vector embeddings, finds content that is semantically similar, and uses an LLM to generate a direct answer from that content. A visitor asking "how do I reset my account" gets a proper answer even if none of your articles use those exact words. I will walk through the full implementation. We will cover the three main vector storage optio