WordPress RAG & GenAI Integration

Inside this workflow

Overview

Pull content from WordPress, embed with OpenAI, store vectors in PostgreSQL/Supabase, and enable semantic RAG queries. Supports hybrid search (keyword + semantic) and powers RAG chatbots trained on your WordPress knowledge base. Nodes & apps: Webhook trigger, WordPress API, PostgreSQL driver, Supabase vector DB, HTTP requests, If/Switch for routing, Filter for data validation. Credentials needed: 1. WordPress API credentials 2. OpenAI API key (for embeddings) 3. PostgreSQL connection string 4. Supabase API key (optional, for vector storage) Setup steps: 1. Connect WordPress API endpoint 2. Configure OpenAI embeddings model 3. Set up PostgreSQL database schema 4. Map Supabase vector tables (if using) 5. Configure webhook for content updates 6. Test with sample posts 7. Build RAG query endpoints 8. Deploy vector search functionality Difficulty: High | Setup time: 30 minutes | Price: $49 | Nodes: 53 | Source: Zie619/n8n-workflows

What's included

Quickstart

1. 01

   Download the JSON

   With an active Library Pass, download the workflow file right from this page or your dashboard.

2. 02

   Import into n8n

   Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.

3. 03

   Plug in credentials

   Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.

4. 04

   Activate and test

   Run once with sample input, confirm the expected output, then flip the activate toggle.

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