Tag
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.
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.
MCP servers give your AI assistant working hands: connect it to GitHub, Supabase, Zapier, and n8n with one standard protocol. First server live in about 20 minutes, free to start.
Most "AI stack" posts hide the bill. Mine runs under $10/month. Here is every tool, the exact tier, the real cost, and the job each layer does for my one-person content business.
