Automated Content Embedding and Chat Functionality for WordPress

This comprehensive n8n workflow streamlines the process of creating intelligent search and chat functionalities for a WordPress website. Starting with data collection, the workflow gathers all posts and pages, filters published and unprotected content, and creates detailed embeddings using OpenAI’s language models. These embeddings are stored in a Supabase vector database, enabling fast and relevant document retrieval. The system also tracks content updates by fetching modified posts/pages since the last run, ensuring the database stays current. Additionally, the workflow supports an interactive chat feature, where user questions trigger document retrieval, context-aware responses via GPT-4, and memory storage, to provide seamless, real-time assistance on your website. This setup is ideal for websites seeking to enhance user engagement, implement intelligent search, or offer AI-powered chat support based on site content.