# How much does search over internal documents cost?

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

Search over internal documents typically costs about $2,150. Half of the 918 priced job posts we tracked fall between $300 and $8,800, and one in ten reaches $24,250 or more.

## Key facts

- Typical cost: $2,150, with the middle half of posts between $300 and $8,800.
- That is 14% below the $2,500 median across all AI builds we track.
- Work expected to take under a month has a median of $260, against $24,000 for over six months.
- Fixed-price median $290; hourly estimate median $7,200.
- Hourly rates mostly run from $25 to $45 an hour.
- Most requested skills: Python, Artificial Intelligence and Machine Learning.

## 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.

- 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

## What drives the cost

Work expected to take under a month has a median of $260, against $24,000 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 $290, while hourly posts work out at $7,200 on our estimate: 25 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 | $260 | 256 |
| 1 to 3 months | $3,200 | 448 |
| 3 to 6 months | $18,000 | 109 |
| Over 6 months | $24,000 | 105 |

| Seniority requested | Median cost | Priced posts |
| --- | --- | --- |
| Entry level | $150 | 18 |
| Intermediate | $1,000 | 382 |
| Expert | $3,500 | 518 |

- 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

## Breakdown

| Industry | Median cost | Middle half | Priced posts |
| --- | --- | --- | --- |
| SaaS | $3,600 | $450–$14,000 | 59 |
| Healthcare | $1,550 | $240–$8,000 | 16 |
| Legal | $6,400 | $400–$18,350 | 16 |

## Skills and rates

The skills named most often in these posts are Python (61%), Artificial Intelligence (38%), Machine Learning (30%) and AI Agent Development (18%). 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 $45 an hour, the middle half of posted rates. The median top of the range is $40 an hour across 478 hourly posts. These are rates in the open freelance market: agencies and in-house teams usually cost more.

## Who is buying

51% of posts ask for expert-level talent. Buyers are most often based in the United States, India and Pakistan, with 32% in the United States. Among posts that state a company size, 95% come from companies of up to 10 people. A typical post draws about 19 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 cost?

Search over internal documents typically costs about $2,150. Half of the 918 priced job posts we tracked fall between $300 and $8,800, and one in ten reaches $24,250 or more. That is 14% below the $2,500 median across all AI builds we track.

### How long does search over internal documents take?

32% of posts expect the work done in under a month, 47% in one to three months and 21% over a longer stretch. Work expected to take under a month has a median of $260, against $24,000 for over six months.

### Why do estimates vary so much?

Fixed-price posts state a median of $290, while hourly posts work out at $7,200 on our estimate: 25 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 $45 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, Artificial Intelligence, Machine Learning and AI Agent Development.

### Do I need an expert?

Posts asking for expert-level talent have a median of $3,500, 3.5 times the $1,000 for intermediate talent. 51% of posts ask for experts.

### Where do these numbers come from?

From 918 public job posts published between December 2025 and November 2026: 440 fixed budgets as stated and 478 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: what it costs." Published by VIZIO AI. Updated 2026-11-04. https://aibuildindex.com/cost/document-search-rag

Method: https://aibuildindex.com/methodology