LAKWATSER🔆SМагазинn8n intermediate course Module 2: Embeddings & Vector DBs in n8n (Supabase + Gemini)
n8n intermediate course Module 2: Embeddings & Vector DBs in n8n (Supabase + Gemini)
безкоштовно
23 люди купили це
Stop keyword search—build semantic search. In this module, we turn text into embeddings and store them in a vector database so your AI Agent can answer with meaning, not just matching words. 🚀
What you’ll learn:
- Embeddings 101: how vectors capture meaning
- Supabase + pgvector setup (copy‑paste SQL included)
- n8n pipeline: Google Drive ➜ Gemini embeddings ➜ Supabase
- Query via an AI Agent using semantic search/RAG
Perfect for automation builders who want fast, accurate answers from their knowledge base. Works with OpenAI or Gemini embedding models—set vector size to your model’s dimensions.
If this helped, drop a like, comment your questions, and subscribe for Module 3! 🔔
▶️ Related Videos/Playlist:
Links:
📚 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
#n8n #Supabase #pgvector #VectorDatabase #Embeddings #RAG #SemanticSearch #AIWorkflow #GeminiAI #Automation
безкоштовно
23 люди купили це
Введіть справедливу ціну
$
безкоштовно