Generate Twitter content in personal style with OpenAI & Supabase RAG

🎯 Self-Learning X Content Engine (Creator RAG Booster)

Learn your voice. Generate posts that sound like you — not AI.

🧩 Overview This n8n workflow builds a personal RAG (Retrieval-Augmented Generation) system for creators. It learns from your own past posts and generates new tweets, replies, and image prompts in your tone.

⚙️ How it works

Step 1 — Ingest - Use the “Add to KB” Form to upload your past posts or notes. - Text + metadata (topic, style) are stored in Supabase as vectors.

Step 2 — Generate - Use the “Generate Posts” Form to create new post ideas. - The Agent fetches the most relevant style snippets (via Supabase VectorStore) - Output includes: - 📝 post - 💬 quote - 💭 reply - 🎨 imageprompt

🔧 Setup (3–5 min) 1. Connect Supabase (URL + Key) - Make sure the table name is documents - Enable vector extension (pgvector) 2. Connect OpenAI API Key 3. Activate both Forms and open the URLs to test. 4. Optionally replace Forms with Webhooks.

💡 Tip: RLS enabled? Ensure your API key allows insert/select for documents.