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.
Band: 25th to 75th percentile of fixed budgets and hourly estimates. Line: median.
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 the build 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.
A typical scope
- 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 |
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.
| Seniority requested | Median cost | Priced posts |
|---|---|---|
| Entry level | $150 | 18 |
| Intermediate | $1,000 | 382 |
| Expert | $3,500 | 518 |
What moves the price most
- 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
Cost by industry
Legal has the highest median here at $6,400, and healthcare the lowest at $1,550.
| 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 hourly 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
Where the demand is
The countries with the most buyers for this build. Each page shows how that market compares.
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.
About this data
These figures come from 918 public job posts published between December 2025 and November 2026: 440 fixed budgets as stated, and 478 hourly posts costed from their rate, expected length and assumed hours. They show what buyers offered, not signed contract prices, and hourly figures assume the work runs its full length. Read the method
Cite this page. 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
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