Artificial Intelligence
RAG Systems
Retrieval over your own knowledge with a citation on every answer, permissions inherited from the source, and evaluation on answer quality.
100% delivery success — delivered worldwide across seven regions
What you get
Where RAG Systems earns its place
Answers grounded in your own knowledge.
- Answers grounded in your documents
- Permissions inherited from source systems
- Evaluation sets run on every release
Tools & platforms
What we build it with
The stack MOD actually delivers this on.
Delivery model
How the work actually runs
One delivery model, whatever the engagement. You always know what is shipping this week and what it is worth.
Discovery
We map your sources, decisions and blockers, understand the business goal, and agree what success looks like before anything is built.
Solution design
We design the architecture, data models and use cases — right-sized to your team and your cloud — and cost the work before you commit.
Development
Weekly sprints against a visible backlog: pipelines, models, dashboards and applications, all in version control and yours from day one.
Testing & validation
Every pipeline and model is tested — with frameworks like PyTest and Great Expectations — so the numbers are trustworthy before they ship.
Deployment & training
We deploy into your cloud and train the people who will run it, so the capability lands with your team, not just our code.
Support & optimisation
Observability, alerting and continuous improvement keep the system fast, accurate and cost-efficient long after go-live.
Proof
Related work
ModTalk: train and deploy a support chatbot in minutes
An all-in-one AI chatbot platform — create, train on your own documents, customise and embed on any site — built on Gemini and ChatGPT with a ChromaDB retrieval layer.
Ask your database a question, get an answer — no SQL
A conversational, question-first platform where table, column and SQL-generation agents turn plain English into queries across PostgreSQL, BigQuery and MySQL.
FAQ
Questions buyers actually ask
Straight answers. If yours is not here, ask us on a call — we will tell you if we are the wrong fit.
Ask a questionChunking, metadata and evaluation matter far more than model choice. We build retrieval over your own knowledge, cite every answer, and inherit permissions from the source.
Yes — our builds retrieve across documents and structured sources; we have shipped natural-language querying over PostgreSQL, BigQuery and MySQL.
Next step
Ready to find out what your data is worth?
Thirty minutes with a delivery lead, not a salesperson. You leave with a point of view on your highest-value use case and what it takes to ship it.