RAG for your WordPress project? Do you need it? 🐘
Retrieval-augmented generation (RAG) is how an AI assistant answers from your own content instead of guessing. Your WordPress posts, docs and WooCommerce products are split into chunks and stored as vectors, by meaning. A question becomes a vector too, the nearest chunks are retrieved, and the model answers from your site, with a source.
What the series covers
- From the keyword search in our own WordPress plugin to real vector search
- Chunks, embeddings and how to choose an embedding model
- How to measure RAG quality with a fixed set of questions
- Two paths: a shared-hosting plugin on MariaDB, and Docker with Postgres + pgvector
- WordPress as a RAG client: REST API, MCP and the Abilities API
Who it is for
WordPress developers, agencies and site owners who want AI search, a support chatbot or product answers grounded in their own documentation, courses, blog or WooCommerce store.
👉 Series map and interactive page: 4wp.dev/ai/rag
🔔 Don’t miss the next episode: youtube.com/@4wpdev