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DataLgorithmics
Products / Enterprise Knowledge & RAG
Productised capability

Enterprise Knowledge & RAG

Secure enterprise search and retrieval-augmented generation over approved knowledge with permissions, citations and evaluation.

Commercial model: scoped implementation, managed operation or recurring service depending on the workflow and operating requirements. Current commercial terms are confirmed after scoping; no outcome is guaranteed before evidence is established.

Capability components

Knowledge-source inventory

Configured around the workflow, approved data, accountable owner and success criteria.

Document ingestion and indexing

Configured around the workflow, approved data, accountable owner and success criteria.

Permission-aware retrieval

Configured around the workflow, approved data, accountable owner and success criteria.

Answer generation with source grounding

Configured around the workflow, approved data, accountable owner and success criteria.

Evaluation datasets

Configured around the workflow, approved data, accountable owner and success criteria.

Monitoring and content lifecycle

Configured around the workflow, approved data, accountable owner and success criteria.

Reference operating architecture

Experience · users, channels, interfaces and human workflows
Intelligence · models, agents, prompts, retrieval and business logic
Knowledge & data · approved sources, structured data, context and quality
Integration · APIs, enterprise applications, events and tools
Trust · permissions, evaluation, logging, monitoring, escalation and governance

Success measures

Retrieval relevanceMeasure against an agreed baseline.
Grounded answer rateMeasure against an agreed baseline.
Source coverageMeasure against an agreed baseline.
Permission accuracyMeasure against an agreed baseline.
LatencyMeasure against an agreed baseline.
User adoptionMeasure against an agreed baseline.

Integration landscape

✓ SharePoint / Drive
✓ Document repositories
✓ Wikis / intranets
✓ Databases
✓ Identity provider
✓ Business applications

Integration feasibility depends on the systems, licences, APIs, security model and access approved by the client.

Implementation path

Discover

Workflow, users, data, baseline.

Design

Architecture and controls.

Prove

Evaluation and decision gate.

Deploy

Integration and adoption.

Operate

Monitor, improve, govern.

Required controls

Accountable owner

A named business owner for outcomes and permitted use.

Human escalation

Defined points where people review, approve or take over.

Evaluation

Quality, safety, cost and operational performance measured before and after release.

Permissions

Least-privilege access to systems, tools and knowledge.

Auditability

Appropriate records of actions, approvals and important changes.

Review cadence

Periodic review of quality, risk, cost and continued suitability.

Build internal capability alongside delivery

Pair implementation with DataLgorithmics Academy pathways so operational, technical and governance teams can sustain the capability.

Academy pathwaysTrust CentreDiscuss Enterprise Knowledge & RAG