# How much does search over internal documents for SaaS companies cost?

_The AI Build Index, published by VIZIO AI. Updated 2026-11-04. USD._

Search over internal documents for SaaS companies typically costs about $3,600. Half of the 59 priced job posts we tracked fall between $450 and $14,000, and one in ten reaches $30,700 or more.

## Key facts

- Typical cost: $3,600, with the middle half of posts between $450 and $14,000.
- That is 44% above the $2,500 median across all AI builds we track.
- Work expected to take under a month has a median of $400, against $17,400 for over six months.
- Fixed-price median $200; hourly estimate median $8,300.
- Hourly rates mostly run from $25 to $38 an hour.
- Most requested skills: Python, React and Node.js.

## What it includes

Search over internal documents lets staff ask questions in plain language and get answers from company files with sources, using retrieval-augmented generation (RAG) rather than training a model.

SaaS teams usually add AI inside a product customers already pay for, so the work centres on product integration, multi-tenant data separation and keeping model costs inside the margin of each plan.

- Ingestion from drives, wikis and databases
- Text splitting and embedding
- A vector store and retrieval logic
- A chat or search interface with citations
- Access control so people only see what they should

## Systems it usually connects to

- The product's own API and database
- Stripe or another billing system
- Support tools such as Intercom or Zendesk
- Product analytics

## What drives the cost

Work expected to take under a month has a median of $400, against $17,400 for over six months. Part of that gap is built in, because hourly estimates are calculated from expected length. Fixed-price posts state a median of $200, while hourly posts work out at $8,300 on our estimate: 42 times as much. One likely reason is that fixed budgets tend to cover a small first step, while hourly posts describe sustained work.

| Expected length | Median cost | Priced posts |
| --- | --- | --- |
| Under 1 month | $400 | 9 |
| 1 to 3 months | $2,650 | 26 |
| 3 to 6 months | $21,150 | 12 |
| Over 6 months | $17,400 | 12 |

| Seniority requested | Median cost | Priced posts |
| --- | --- | --- |
| Entry level | Too few posts | 2 |
| Intermediate | $2,500 | 13 |
| Expert | $4,800 | 44 |

- How many sources there are and how messy the documents are
- Permissions, which are often harder than the AI
- How accurate answers must be, which sets the testing effort

## Skills and rates

The skills named most often in these posts are Python (60%), React (44%), Node.js (31%) and Artificial Intelligence (29%). Read this as the working stack for this kind of build, and as a checklist when assessing who should do it.

Hourly posts for this work typically offer $25 to $38 an hour, the middle half of posted rates. The median top of the range is $40 an hour across 35 hourly posts. These are rates in the open freelance market: agencies and in-house teams usually cost more.

## Who is buying

67% of posts ask for expert-level talent. Buyers are most often based in the United States, India and Pakistan, with 28% in the United States. Among posts that state a company size, 96% come from companies of up to 10 people. A typical post draws about 20 applicants.

## What to check before you commit

- Make sure document permissions carry through to answers
- Build a test set of real questions with known answers
- Decide how new and changed documents get re-indexed

## Frequently asked questions

### How much does search over internal documents for SaaS companies cost?

Search over internal documents for SaaS companies typically costs about $3,600. Half of the 59 priced job posts we tracked fall between $450 and $14,000, and one in ten reaches $30,700 or more. That is 44% above the $2,500 median across all AI builds we track.

### How long does search over internal documents for SaaS companies take?

21% of posts expect the work done in under a month, 43% in one to three months and 36% over a longer stretch. Work expected to take under a month has a median of $400, against $17,400 for over six months.

### Why do estimates vary so much?

Fixed-price posts state a median of $200, while hourly posts work out at $8,300 on our estimate: 42 times as much. One likely reason is that fixed budgets tend to cover a small first step, while hourly posts describe sustained work. Scope matters most: how many sources there are and how messy the documents are and permissions, which are often harder than the AI move the price the most.

### What hourly rate should I expect?

Most hourly posts offer $25 to $38 an hour, with a median top rate of $40. Agencies and in-house specialists usually charge more than the open freelance market.

### What skills does this work need?

Posts most often ask for Python, React, Node.js and Artificial Intelligence.

### Do I need an expert?

Posts asking for expert-level talent have a median of $4,800, 1.9 times the $2,500 for intermediate talent. 67% of posts ask for experts.

### Does the industry change the price?

For SaaS companies, the median of $3,600 is above the $2,150 median for search over internal documents across all industries. SaaS teams usually add AI inside a product customers already pay for, so the work centres on product integration, multi-tenant data separation and keeping model costs inside the margin of each plan.

### Where do these numbers come from?

From 59 public job posts published between December 2025 and November 2026: 24 fixed budgets as stated and 35 hourly posts we costed from their rate, expected length and assumed hours. They are what buyers offered, not signed contract prices.

## Source

The AI Build Index. "Search over internal documents for SaaS: what it costs." Published by VIZIO AI. Updated 2026-11-04. https://aibuildindex.com/cost/document-search-rag-for-saas

Method: https://aibuildindex.com/methodology