Tag

#OpenAI

Best Embedding Model for n8n RAG: OpenAI vs Gemini vs Local (2026)

Choosing between n8n RAG embeddings comes down to four verifiable axes: dimensions, price per 1M tokens, max input context, and cloud vs local. This guide compares OpenAI, Gemini, and Ollama options so you pick the one you can live with.

Muhammad Qasim HammadJune 25, 202610 min

RAG & Knowledge

Build a Vector Store in n8n (Embeddings for RAG)

Build an n8n vector store that retrieves your own documents by meaning, not keywords. Embedding 1,000 docs costs ~1.3 cents; Supabase free-tier storage costs $0. Full node wiring and step-by-step setup inside.

Muhammad Qasim HammadJune 16, 202612 min