Maintain approved sources
Give the knowledge base an owner, an update process and a way to remove outdated information rather than treating upload day as the finish line.
- Source ownership
- Content quality
- Update and removal process
Enterprise Knowledge & RAG
Make the answer point back to the knowledge your business already trusts.
RAG connects an AI response to the business information it should actually use: websites, documents, FAQs and controlled knowledge sources.
Enterprise RAGTenant knowledge scoped
Operational viewIllustrative solution interface
SourceApproved business knowledge
Websites, documents and FAQs are added from sources the organisation has approved and assigned an owner to.
RetrievalFind relevant evidence
The system selects context related to the user's question rather than passing everything to the model.
ResponseCompose with evidence
When evidence is weak, qualify, ask or hand off instead of inventing business facts.
Question→Retrieve→Validate→Compose
Knowledge architecture
Find the source before the model writes the answer.
The model should not be expected to remember company-specific facts. Business knowledge stays in sources the organisation has approved. Retrieval supplies the relevant evidence for the current question.
Retrieve relevant evidence
Select the information related to the question before asking the model to compose a response.
- Search only the current customer's knowledge
- Relevance
- Evidence selection
Know when evidence is weak
The system should qualify or escalate when the available evidence does not support a confident business answer.
- Evidence sufficiency
- Fallback
- Human review
Knowledge lifecycle
Good RAG depends as much on content operations as model selection.
Source quality, ownership, tenant scope, retrieval limits and removal/update processes directly affect what the assistant can answer.
Identify sources
Websites, documents, FAQs and approved internal knowledge.
Structure content
Clean, classify and associate content with the correct business scope.
Select evidence
Find the most relevant context for the current question.
Check sufficiency
Determine whether the evidence supports an answer.
Refresh knowledge
Update, remove and improve sources as the business changes.
Multi-tenant design
Each organisation's knowledge must stay inside its own boundary.
In a multi-tenant service, retrieval is not only a relevance problem. It is also an isolation and governance requirement.
Tenant scopeRetrieval should use the current organisation's authorised knowledge, not another tenant's content.
SourcesTrack where knowledge came from and how it should be maintained.
LimitsControl retrieval volume, context size and quality so cost and response quality remain manageable.
Knowledge review
Your knowledge base is part of the AI product.
We can start by reviewing the sources you already have and identifying gaps, ownership and retrieval requirements.