What Does Private RAG Cost? A Practical 2026 Budget Guide

Published consultancy estimates put simple RAG builds at $15,000–$25,000, production deployments at $40,000–$80,000, and enterprise on-premises implementations at $80,000–$150,000 or more. These figures come from Ortem Technologies’ pricing guide—not an independently verified industry average or a Molay quote. Confirm currency, scope, and exclusions before comparing proposals. ortemtech

Your budget depends on the document sources, access requirements, deployment environment, and ongoing responsibilities. The most useful starting point is scope, not a single headline price.

What Does “Private RAG” Mean?

Retrieval-augmented generation, or RAG, retrieves relevant information from a knowledge base and provides it to a language model to help generate an answer. synvestable

For this guide, “private RAG” means an application using a controlled knowledge base with access restricted to authorized users. It does not necessarily mean everything runs on your own hardware: cloud-based applications can also enforce document-level access restrictions. learn.microsoft

Before requesting an estimate, specify where documents, model requests, and logs may be processed or stored.

Separate Your Budget Into Three Parts

Ask vendors to price these categories separately:

• Initial implementation: discovery, document ingestion, retrieval, application development, permissions, testing, and deployment.
• Infrastructure and usage: model requests, indexing, search, storage, hosting, and monitoring services.
• Maintenance and support: connector fixes, permission changes, quality reviews, incident response, and agreed support coverage.

This makes proposals easier to compare. A monthly hosting estimate is not equivalent to a managed-service agreement that includes engineering support.

Five Factors That Shape the Cost

1. Document Sources and Formats

List where your information lives, the file types involved, and how frequently it changes.

Ask whether existing connectors cover the requirements or custom engineering is needed. Do not assume every source requires a connector built from scratch; supported platforms may provide built-in ingestion and access-control capabilities. techcommunity.microsoft

2. Access Permissions

Signing in does not mean a user should see every document.

If different users have different access rights, the retrieval process needs to enforce those restrictions. Microsoft documents security-filtering approaches for supported Azure AI Search configurations. learn.microsoft

Include tests for revoked access, deleted documents, and unauthorized requests—not just successful sign-in.

3. Deployment Requirements

Specify which components may use managed cloud services and which must remain within your controlled environment.

Ask who will operate document storage, retrieval, model inference, application hosting, and backups. Avoid comparing deployment options using a blanket claim that one is always several times cheaper.

4. Interfaces and Integrations

Define where people will use the application: a web interface, Slack, Microsoft Teams, an internal tool, or an API.

Ask vendors to identify the development, testing, and maintenance included for each interface. Keep optional integrations separate so you can see the cost of the first useful release.

5. Testing and Ongoing Ownership

Agree on representative questions and acceptance criteria before development starts.

Tools such as Ragas can measure whether an answer’s claims are supported by retrieved context. That does not establish whether the underlying documents are correct, so evaluation should also reflect your use case and the consequences of mistakes. docs.ragas

Name the person or team responsible for updates, failures, and quality reviews after launch.

What Will It Cost Each Month?

A meaningful monthly estimate needs workload assumptions. Ask for:

• Expected query volume and model choices.
• Document volume and update frequency.
• Search, storage, and hosting charges.
• Included maintenance and support.
• A higher-usage scenario.

For year-one planning, add implementation, 12 months of recurring costs, and separately scoped changes. Check that maintenance has not been counted twice.

Before You Accept a Proposal

Confirm five things:

1. Which sources, interfaces, and permissions are included?
2. What tests determine whether the system is ready?
3. What assumptions support the recurring estimate?
4. Who maintains the system and owns the code and deployment accounts?
5. What currency, taxes, third-party charges, and exclusions apply?

A lower price is only meaningful when you understand what it covers.

Discuss Your Private RAG Scope With Molay

Planning a private RAG project? Bring your document sources, access requirements, and deployment constraints to a free 30-minute scoping call.

We’ll discuss the workflow you want to improve, the smallest useful first release, and the assumptions that would shape a project estimate.

Book a Free Scoping Call