Private RAG Development Services
Private RAG for teams whose data cannot leave the building.
A short call to see if this is a fit. No pressure, no slides.
Pricing
$2,000
setup + retainer
What you get
- + A private RAG pipeline over your own documents
- + Open-weight models running on your hardware or private cloud
- + Source citations on every answer so staff can verify
- + An ingestion process for new documents
- + Monthly support to keep retrieval accurate as documents change
Ideal for
- → Law firms that cannot send client files to a public model
- → Finance teams under data-residency rules
- → Any team that needs answers grounded in private documents
What private RAG is
RAG means retrieval augmented generation. Before the model answers a question, it searches your own documents, pulls the relevant passages, and answers from those, with citations. Our glossary covers RAG and the vector database that makes the search fast.
Private means the documents and the model both run on hardware you control. Nothing is sent to a public model.
Where it fits
This is built for teams that cannot send data out.
- Law firms doing contract review and legal research on client files.
- Finance teams under data-residency rules, working with statements and filings.
- Regulated teams that need an audit trail and a source for every answer.
The shared thread is simple: the answer must be grounded in your documents, and the documents must stay in house.
An honest note on cost
If your data can safely go to a public API, you probably do not need private RAG. A hosted setup is cheaper to build and cheaper to run, and we will recommend it when it fits. We only suggest the private path when your rules actually forbid the hosted one. Paying for on-prem infrastructure you do not need is a waste, and we would rather say that now.
How we build it
We run open-weight models on your hardware or a private cloud, behind a clean retrieval pipeline. When the system needs to reach other tools, we keep the wiring tidy with standards like the Model Context Protocol. Every answer shows its sources so your staff can verify before they act.
See it live
We run open-weight models and retrieval on a self-hosted stack, and the same approach powers our agents. You can review the real setup before booking a call.
Pricing and scope
Private RAG starts at $2,000 to set up, plus $500 per month for support that keeps retrieval accurate as your documents change. A short readiness audit comes first so we size the work correctly.
If you only need AI inside an app and your data can use a hosted model, see AI integration instead.
Is this right for you
This is a fit if you have a clear set of documents, a real reason the data cannot leave, and someone who can confirm answers in high-stakes cases.
It is not a fit if you are choosing private only for comfort. The hosted path is cheaper, and we would rather build you the cheaper thing.
FAQ
See the questions above on what RAG is, why go private, and how accurate it gets.
Frequently asked questions
What is RAG in plain terms?
RAG means retrieval augmented generation. Before the model answers, it searches your own documents and pulls in the relevant passages. The answer is grounded in your text, with citations, instead of in whatever the model memorized. See our glossary entry on RAG for the longer version.
Why private RAG instead of a hosted API?
Because some teams cannot send their data anywhere. Law and finance often have rules that forbid it. Private RAG keeps the documents and the model on hardware you control. If your data can safely use a public API, you do not need this and we will tell you so.
How accurate is it?
Good retrieval gets you grounded, cited answers. It is not perfect. The model can still misread a passage, so we design for a human to check high-stakes answers and we show the source for every claim.
Industries we serve with this
AI for Law Firms
Private RAG for contract review and legal research, with client data kept in house.
AI for Financial Services
Fraud, lending, and compliance support with models that keep your data in house.
AI in the Pharmaceutical Industry
Document intelligence and compliance support, built for strict audit trails.
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Want to talk it through?
A short call to see if this is a fit. No pressure, no slides.
Book a scoping call