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Architecting Zero-Data-Retention Hybrid RAG Inside AWS & GCP VPCs

Dr. Elena Rostova — Head of Retrieval Security

How to combine dense embeddings, BM25 lexical search, and row-level RBAC permissions without exposing customer PII to public model endpoints.

Pure vector similarity misses exact SKU codes, invoice IDs, and legal clause numbers. Pairing reciprocal-rank-fusion (BM25 + dense vectors) inside pgvector with Bedrock/Vertex private endpoints guarantees sub-400ms retrieval, exact source citations, and zero external training retention.

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