#Qdrant

Most "local RAG" setups still send your documents to a cloud embeddings API. This guide closes every leak: local embeddings via Ollama, a self-hosted Qdrant or PGVector store, and a local answering model, all in n8n.

Muhammad Qasim Hammad·June 27, 2026·9 min

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 Hammad·June 12, 2026·9 min