Tag

#embeddings

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, 202611 min

Tools

pgvector vs Chroma vs Qdrant: Choosing a Vector Database for RAG

Compare pgvector, Chroma, and Qdrant for local RAG pipelines. Get the three-line decision: already on Postgres, use pgvector; prototyping locally, use Chroma; need scale or heavy filtering, use Qdrant.

Muhammad Qasim HammadJune 12, 20269 min