Building Private Enterprise RAG Pipelines: Local Vector Embeddings (pgvector, ChromaDB) & Zero-Leakage Knowledge Retrieval (2026)
Naive RAG pipelines that simply split PDFs into 500-token chunks and query public cloud APIs fail in enterprise settings due to hallucinations, missing tabular context, and severe data privacy violations. Here is how to architect an air-gapped, hybrid-search RAG pipeline using pgvector, BGE-M3 local embeddings, and local rerankers.