Private Document Q&A with pgvector: 100% Local RAG Pipeline 2026
>_ 17 Apr | 18 min | Dev Corner • Marcus Thorne
Build a fully local RAG pipeline in Python 2026. Ollama embeddings, pgvector 0.8 HNSW search, and Llama 4 Scout for document Q&A. No OpenAI. No cloud. Zero data leaves your machine.
🟡Intermediate