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Self-hosted

Running the system inside your own infrastructure — an option for organisations with data-residency requirements.

TL;DR

Running KobiGPT on your infrastructure for data residency.

Quick facts

Category
AI & knowledge management
Product tie-in
KobiGPT RAG platform
Related
See compare and tools pages
Locale
TR and EN site

Why teams choose KobiGPT

  • Understand terms before evaluating vendors.
  • Link concepts to KobiGPT features (RAG, Kobi Kredi).
  • Share glossary links with procurement and legal.
  • Explore assistant use cases next.

Product facts

Ücretsiz plan
100 doküman · 2 departman · 120 Kobi/ay(PLAN_CONFIG)
Starter
1000 doküman · 5 departman · 1000 Kobi/ay(PLAN_CONFIG)
Pro
12500 doküman · 25 departman · 12500 Kobi/ay(PLAN_CONFIG)

What self-hosting changes

In a self-hosted deployment the application, databases, and queue run in your infrastructure. Data never leaves your control at any stage, and model and embedding provider configuration stays on your side too.

That can be decisive for organisations with strict data-residency requirements. In public sector, defence, healthcare, and some financial scenarios, keeping data inside national borders may be a contractual obligation.

Product behaviour does not change: the same assistant structure, the same scope separation, and the same role model apply. What changes is where the components run and who operates them.

Responsibilities you take on

The price of control is responsibility. Backup, version upgrades, capacity planning, monitoring, and security patching all move to your team in a self-hosted deployment.

Each item is small on its own but requires continuous maintenance. At SME scale there is no dedicated infrastructure team, so the load usually falls on one person — and the system can be orphaned when they leave.

When deciding, write that operating cost next to the licence cost. In most cases total cost of ownership exceeds a cloud deployment; a genuine residency requirement can still justify it.

When it is genuinely necessary

A self-hosted decision is right when it is a requirement rather than a preference. If a contract, regulation, or customer demand forbids data leaving your premises, there is no alternative.

If the decision rests only on "it feels safer", it deserves a second look. A poorly operated self-hosted deployment is riskier than a well-operated cloud one; components that are never updated accumulate exposure.

There is also a middle path: if the residency requirement applies only to embedding, that step can run in your infrastructure while the remaining components stay in the cloud.

FAQ

What is Self-hosted in practice?

Running KobiGPT on your infrastructure for data residency.

Does KobiGPT use this?

See product docs and feature pages for implementation details.

More reading?

Visit our blog and FAQ.

Accuracy disclaimer?

Educational content; verify for compliance decisions.

Are features the same when self-hosted?

Assistant structure, scope separation, and the role model work identically; what changes is where components run.

Who handles maintenance?

Backup, upgrades, monitoring, and capacity planning are your team’s responsibility in a self-hosted deployment.

Comparison

FeatureKobiGPTAlternative
SME focusYesN/A
CitationsWhen using RAGN/A
Glossary depthGrowingN/A
ToolsInteractiveN/A

Related pages

  • Full glossary
  • Use cases
  • Blog

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