RAG development

Answers grounded in your business knowledge.

Connect an AI assistant to approved documents so employees and customers can find answers with source references.

For teams in the UAE, Saudi Arabia and across the GCC.

From requirement to implementation

What your project can include

01

Document ingestion and update pipelines

Define the inputs, constraints and acceptance criteria with your team.

02

Permission-aware retrieval and source references

Implement and test against the agreed workflow and representative data.

03

Answer-quality and unsupported-question evaluation

Make performance visible and prepare your team to operate the solution.

Designed around your environment

Start with the business requirement.

We scope the systems, data access, languages and deployment requirements before choosing models or infrastructure. Arabic and English quality should be tested on your actual terminology and user journeys.

Explore our Middle East approach →

Bring to the discovery conversation

  • The task you want to improve and how you measure it today.
  • Your existing systems and a description of the available data.
  • Required languages, users, hosting region and access restrictions.
  • Your target timeline and an indicative budget range.

Final scope, delivery milestones and ongoing costs are agreed after discovery.

Before you start

A common question

Does RAG eliminate incorrect answers?

No. Retrieval improves access to relevant information, but answers still need evaluation, source checks and an explicit fallback when evidence is missing.

Your next step

Tell us which task is slowing your team down.

Share the use case, your current systems and the outcome you want. We can use that conversation to define a practical first project.