Ask your contracts and manuals – and get an answer with a citation
RAG over your documents on your NVIDIA DGX device: PDFs, contracts and manuals become the base employees query – and the data stays at your location.
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Questions and answers over PDF / Word / manuals
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First source: a folder, file share or export
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Everything stays on your DGX device
What we deploy
What the company gets from day one
We start with a single folder of documents and grow as needed – no whole-business integrations on day one.
01
Answers from your documents
Employees ask in natural language, the system searches the document content and answers with a source – which can be opened and verified.
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First source: a folder or export
We start from the file system you already have – a folder, file share or export from an existing system. No moving data to the cloud.
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Local, on the DGX device
Both the documents and the model run on your NVIDIA DGX device – contract content never travels to the public internet.
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Expansion in stages
You add new folders and document types when the time comes – the system grows with your needs, no “big bang” project required.
On which hardware
Three variants – by team and model size
Capacity depends on the volume of documentation and the user count – we choose the device accordingly.
NVIDIA DGX Spark
A pilot and 1–2 users: a compact deskside device running from a regular outlet.
2× DGX Spark
A compact fleet for bigger jobs: two linked devices working together.
NVIDIA DGX Station
A team and larger models: MIG splits the GPU across users, up to 748 GB of coherent memory.
For large archives and multiple teams we recommend the DGX Station. The choice is confirmed after a volume consultation.
What is in the delivery
From order to a working system
- Delivery of the NVIDIA DGX device to your location (all of Serbia)
- Installation of DGX OS, CUDA and the NIM environment with RAG configuration – at your request
- Connecting the first document source (folder / file share / export)
- A question-and-answer test on your documents and team training – at your request
- Warranty service through us – RMA with the manufacturer
After commissioning, the models and access are managed by your IT team – we stay with the equipment through warranty service.
Request AI document search
Tell us what documents you have and roughly how many – we will propose a device and a deployment plan.
FAQ
Frequently asked questions
NVIDIA
When this format is not the right choice
NVIDIA DGX Spark
A compact AI workstation for the desk: GB10 Grace Blackwell, 128 GB unified memory, ~240 W from a regular outlet.
NVIDIA DGX Station
A deskside AI supercomputer for large models and teams: GB300 Grace Blackwell Ultra, up to 748 GB of coherent memory.
NVIDIA RTX PRO Server
A rack GPU server: up to 8× RTX PRO 6000/4500 Server Edition, vGPU/MIG sharing for multiple users at once.