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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.
Build an n8n AI customer support bot that answers repeat questions from your own docs using RAG. Two workflows, about $4.50 per 1,000 answers on Claude Haiku 4.5, and $0 platform cost if you self-host.
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.
Local RAG with Ollama lets you ask questions across hundreds of private documents without uploading a single file to the cloud. This guide covers three paths from 20-minute desktop setup to n8n pipelines, all at $0 running cost.
