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AI & intelligent workflows / Retrieval-augmented generation

Answers that stay connected to evidence.

Retrieval-augmented generation brings relevant source material into a model’s context so an answer can be grounded in a defined body of information.

Talk through your project
Data center server infrastructure
Technology in focusRAGEvidence / Evaluation / Control

A connected engineering approach

  1. 01
    Experience

    People, tasks, accessibility

  2. 02
    Application

    Components, logic, integrations

  3. 03
    Foundation

    Data, operations, maintenance

The architecture follows your product requirements.

01 / Where it fits

Built around
a real use case.

01

Research assistants

Connect a summary to supporting passages.

02

Knowledge access

Help users find information across a document collection.

03

Controlled information products

Keep access rights and source freshness in the retrieval path.

02 / Architecture

The decisions
behind the build.

A sound foundation

Plan ingestion, parsing, chunking, metadata, retrieval, and citation mapping as one system. Carry permissions through every stage and keep source versions available.

The tradeoff to consider

Retrieval does not guarantee truth. Missing passages, stale documents, and weak citation mapping can all produce misleading answers.

03 / Delivery & care

Make it work.
Keep it dependable.

Quality in the details

Evaluate retrieval relevance separately from answer quality. Test contradictory sources, missing evidence, access boundaries, and freshness.

01

Understand

Review the users, existing systems, constraints, and definition of success.

02

Shape

Document the architecture, interfaces, risks, and delivery scope.

03

Build & validate

Review working increments against real use cases and failure conditions.

04

Handover & evolve

Prepare operating guidance, ownership, and a practical maintenance plan.

04 / A few useful questions

Before you begin.

Is RAG the right choice for my project?

Retrieval does not guarantee truth. Missing passages, stale documents, and weak citation mapping can all produce misleading answers.

Can we improve an existing application?

Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.

How are scope and cost determined?

The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.

What happens after launch?

Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.

Official technology documentation

Something in mind?

Let's build
what's next.
A new website. A better product. A bigger possibility.It starts with a conversation.