RAG architecture
2026-09-26 · 10 min read
Key takeaways
- Enterprise RAG starts with identity and permissions.
- Fashion semantics improve retrieval context.
- Citations and evaluation make answers verifiable.
What enterprise RAG architecture is
RAG architecture retrieves authorised content before generating an answer. In an enterprise it must preserve identity, permissions, source version and provenance throughout the path.
For Fashion & Retail it must also understand relationships between style, colorway, season, market, store and inventory.
1. Ingestion and freshness
Documents and data arrive from ERP, PLM, PIM, OMS, CRM and document repositories. Each connector retains origin, timestamp and access rules.
Updates should be incremental and observable: an answer should not silently use an obsolete version.
2. Chunking, indexing and hybrid retrieval
Chunking follows content structure, not an arbitrary length. Product records, policies and manuals require different segmentation.
Semantic and lexical search can be combined and reranked; permission and context filters apply before generation.
3. The Fashion semantic layer
The semantic layer reconciles different codes and makes business relationships explicit. A product question can retrieve the correct inventory, order and policy without mixing granularities.
Semantics do not replace the source: they connect it to the meaning used by buyers, planners and merchandisers.
4. Citations, abstention and conflicts
Every important answer shows sources and relevant passages. When evidence is insufficient, the system should abstain or ask for clarification.
When systems disagree, the answer exposes the conflict and applies the authority rule defined for that data.
5. Evaluation before production
A set of real questions measures retrieval, faithfulness, citation coverage, correct abstention and permission enforcement.
Tests should be segmented by language, role and domain because an overall average can hide critical failures.
From RAG to a governed decision
RAG prepares evidence and context; the Digital Worker structures the decision, applies thresholds and routes action to the authorised person.
This separation prevents a good answer from being mistaken for permission to execute.
FAQ
Frequently asked questions
What are the components of enterprise RAG?
Connectors, identity and access control, ingestion, index, retrieval, reranking, generation, citations, observability and evaluation.
Why does fashion RAG need a semantic layer?
It connects different codes and granularities to business entities, reducing ambiguous retrieval across products, seasons, markets and inventory.
How should an enterprise RAG system be evaluated?
Use real questions and metrics for retrieval, faithfulness, citations, abstention and permissions, segmented by role, language and domain.
Explore enterprise RAG architecture, governance and use cases.