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Build · AI, automation and data

Generative AI, RAG and AI Assistants

Build grounded assistants and knowledge workflows with permission-aware retrieval, evaluation, and human review.

Who this is for

For organisations whose knowledge is trapped in documents, tickets and people’s heads.

Outcomes

  • 01Grounded, cited answers
  • 02Permission-aware retrieval
  • 03Evaluated quality before launch
  • 04Human review for high-stakes output

Capabilities

  • 01Retrieval pipelines
  • 02Assistant design
  • 03Evaluation harnesses
  • 04Guardrails and review flows

Approach

How the work moves.

  1. 01

    Map the operating reality, users, constraints and success measures.

  2. 02

    Make the riskiest product and technical decisions visible early.

  3. 03

    Ship working vertical increments with quality and observability built in.

  4. 04

    Let real adoption and operational evidence guide what comes next.

Deliverables

  • 01Knowledge ingestion pipeline
  • 02Assistant experience
  • 03Evaluation suite
  • 04Usage and quality monitoring

Selected technologies

ClaudeOpenAIpgvectorLangGraphPython

FAQs

Before you ask.

Can CODRAX work with an existing product or engineering team?

Yes. We can lead a defined workstream, add senior specialists to your team, or form a focused multidisciplinary squad — always with clear ownership of the outcome.

What does a first engagement usually produce?

A first phase makes the scope, risks, architecture, success measures and smallest credible release explicit, so the next investment decision is an informed one.

How are delivery risks handled?

Through working increments, visible acceptance criteria, automated checks and operational evidence — and by naming risks early instead of hiding them in status reports.

Contextual next step

Share the workflow that matters. Prove us wrong.

Tell us the platform or product challenge you’re trying to resolve, and we’ll help find the smallest credible first move.