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RAG in production: what we learned from 12 enterprise deployments

Aqeeq Architecture

Updated Feb 28, 2026 · 12 min read

RAGArchitecture
RAG in production: what we learned from 12 enterprise deployments

Retrieval accuracy, permission boundaries, and evaluation pipelines matter more than embedding model choice.

RAG demos work on small, curated document sets. Production RAG fails when knowledge is scattered, stale, permission-blind, or full of conflicting versions.

Hybrid retrieval

Hybrid retrieval with reranking consistently outperforms pure vector search on domain-specific enterprise queries. Golden datasets — updated when policies change — catch regression before users do.

Permission-aware access

Permission-aware access is non-negotiable. Agents must not retrieve documents the requesting user cannot access. This is an architecture problem, not a prompt trick.

What to measure

Measure retrieval accuracy, answer faithfulness, and business outcomes — not just latency and token cost.

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