RAG examples and patterns

RAG examples that connect architecture to business work

See where retrieval-augmented generation adds value, which sources and controls each use case needs, and how to define a measurable first release.

Source-connected

Permission-aware

Measured before launch

01

What makes a strong RAG use case

RAG is a good fit when users need answers or drafts based on information that is private, specialized, distributed, frequently updated, or important to cite. The workflow should have identifiable source material and a way to judge whether retrieval and the final response are useful.

RAG is a weak fit when no authoritative knowledge exists, deterministic rules are sufficient, the task primarily requires model behavior rather than facts, or an incorrect synthesis would be unacceptable without a review process.

02

Enterprise RAG examples

Knowledge assistant

Search policies, procedures, project history, and expert guidance with source-aware answers.

Customer support copilot

Combine product documentation, customer context, and similar resolved cases for faster service.

Document analyst

Find, compare, and summarize relevant requirements, clauses, or technical passages across a controlled set.

03

Industry patterns

CRM account briefings and case-resolution guidance

Legal matter, contract, and precedent knowledge

Manufacturing manuals, service history, and quality records

Healthcare policy, research, and operational knowledge

Sales proposal and approved-response assistance

Compliance obligations and evidence retrieval

Engineering specifications and change history

Employee onboarding and self-service support

04

Turn an example into a testable pilot

01

Name the user decision

Describe the task and what better performance means.

02

Identify authoritative evidence

Select representative sources, versions, permissions, and expected citations.

03

Create realistic questions

Include frequent, difficult, ambiguous, restricted, and unanswerable cases.

04

Measure against today

Compare time, retrieval, answer support, review effort, and user outcomes.

Questions

Frequently asked questions

An employee knowledge assistant that retrieves approved policy passages and uses them to produce a cited answer is a common RAG example.

RAG patterns appear in software, professional services, legal, manufacturing, healthcare, finance, education, government, and other knowledge-intensive settings.

Choose a frequent, valuable task with identifiable sources, representative users, manageable risk, and measurable current performance.

A practical next step

Bring us the workflow that is stuck—not a finished AI specification.

We will help clarify the opportunity, data, risks, and smallest useful way to prove value.