n8n Intermediate: RAG + Supabase Setup (Module 1)

Build your RAG foundation in n8n! In Module 1, we set up Supabase as both Postgres (structured data + memory) and a vector-ready stack, create essential tables, connect Postgres memory in n8n, and prep for embeddings in Module 2. We’ll also touch on model choices (OpenAI, Gemini) and Tavily for retrieval. 🧠⚙️

What you’ll learn:

- RAG basics (Retrieve → Augment → Generate) and why it reduces hallucinations

- Supabase as Postgres + vector store, and when Pinecone/Qdrant make sense

- Structured data vs memory tables vs vector embeddings

- Connecting Supabase/Postgres to n8n as an AI Agent tool

📚 Free n8n course: In the community Guides section

🤝 Join the community: https://www.facebook.com/share/g/1FHSvHmJzt/

🗓️ Book a 1:1 session: https://forms.gle/SZPLGfntX58qmnoJ9

🤖 Try n8n (affiliate): https://n8n.partnerlinks.io/mcfxblk63tm3

🌐 All tools & links: https://lateral-dewberry-fad.notion.site/LAKWATSER-S-Travel-Finds-Freelance-Tools-23576e421b4980969822e868df47e76a

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