Source register
Record owner, authority, audience, system, document identity, version, effective dates, status, sensitivity, retention, and conflict rules.
Enterprise knowledge systems
How should an enterprise build a reliable RAG knowledge base?
A reliable knowledge system begins with authoritative sources and governed access, not embeddings. Preserve document identity and structure, enforce permissions before retrieval, require answer-to-source traceability, evaluate coverage and unsupported claims, and operate ingestion, freshness, correction, and escalation as production workflows.
By Onyx Devs Lab · Published · Updated
SourcesAuthority, coverage, versions, and permissions
RetrievalStructure, context, citations, and abstention
OperationsFreshness, evaluation, correction, and ownership
Build a trustworthy evidence corpus
Retrieval quality cannot compensate for missing, conflicting, unauthorised, or poorly represented sources.
Ingestion fidelity
Preserve headings, tables, pages, lists, attachments, metadata, language, relationships, and stable locators; detect corrupt, duplicate, partial, and superseded content.
Access enforcement
Apply user, tenant, group, matter, region, purpose, and document permissions before retrieval; do not ask the model to hide content it already received.
Evaluate answers as evidence products
Fluent answers are insufficient when users need complete, current, and reviewable support.
Retrieval coverage
Measure whether required sources and passages are found across common, ambiguous, multi-document, missing, conflicting, and access-restricted questions.
Grounding and response policy
Test citation correctness, claim support, completeness, uncertainty, abstention, contradiction handling, freshness, and whether the answer stays within authorised evidence.
Production operations
Monitor ingestion lag, index versions, retrieval failures, empty results, source drift, corrections, feedback, latency, cost, incidents, and rollback with named owners.
How to build an evidence-linked knowledge system
Define the knowledge contract
Name users, decisions, authoritative sources, exclusions, permission model, freshness target, citation standard, and failure response.
Build a representative corpus
Include typical, complex, scanned, tabular, multilingual, conflicting, obsolete, missing, and restricted examples with expected evidence.
Test retrieval before generation
Inspect source and passage coverage, permissions, ranking, context assembly, and stable locators separately from answer style.
Release with correction loops
Version corpus and configuration, monitor evidence failures, route sensitive uncertainty to qualified reviewers, and make source correction auditable.
Frequently asked questions
Does RAG prevent hallucination?
No. It can provide evidence, but unsupported synthesis, incomplete retrieval, stale sources, permission failures, and model errors still require evaluation and controls.
Should all company documents be indexed?
No. Include sources with a defined purpose, authority, owner, permission, lifecycle, and quality standard; exclude uncontrolled duplication and unnecessary sensitive data.
How should conflicting sources be handled?
Apply documented authority and effective-date rules, expose the conflict and citations, and escalate when the system cannot determine the governing source.
Start with one concrete operating problem.
We will first clarify the workflow, evidence, data boundary, and outcome standard before recommending the next step.
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