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Making Your Own Documents Answerable

How we build retrieval-based knowledge systems over internal material, and why documents matter more than models.

Updated 2 min readBy SpiderHunts Technologies

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Quick answer — TL;DR

Retrieval over your own policies, contracts and documentation, with citations and per-user permissions. Quality depends overwhelmingly on document housekeeping rather than on the model. £15,000–£40,000 for a production system.

The problem it solves

Every organisation over about thirty people has knowledge scattered across a document store, a wiki, an email archive and several people's heads. New staff ask questions that are answered somewhere; experienced staff spend their time answering them.

The application lets someone ask in plain language and get an answer with a citation, so they can check it. The citation is what makes it trustworthy enough to use.

Document quality decides the outcome

Every internal knowledge project turns into a document housekeeping project by week three. We treat that as part of the work rather than as a surprise, and it is usually the most valuable part.
  • One authoritative version per policy, older ones archived out of the index
  • Dates and owners visible, so currency can be judged
  • Scanned documents processed to text, or they are invisible
  • Drafts, personal folders and superseded material explicitly excluded

Permissions are enforced at retrieval

The fastest way to create a serious incident is to index HR files and salary data into a system everyone can query. Access control filters by the asking user's permissions before anything reaches a model.

This is designed in from the start. Retrofitting per-user filtering onto a system already in use is unpleasant and, in the meantime, risky.

Put it where people already are

The chat tool the team lives in, the intranet, or the helpdesk. A separate destination gets visited enthusiastically for three weeks and then forgotten.

This single decision affects adoption more than any accuracy improvement.

Measure with real questions

Collect fifty real questions from staff with agreed correct answers and use them as the evaluation set, rerun on every change to chunking, retrieval or prompting.

Also track the questions it could not answer. That list is the most useful documentation backlog most organisations have ever had.

FAQ

Frequently asked questions

The questions readers ask us after this guide.

Still have a question?

Ask us directly — a senior engineer will get back to you.

Ask about your project

What if our documents contradict each other?

Then the system will produce contradictory answers, correctly. Resolving the contradictions is the first task, and the project surfaces them precisely.

Can it answer from spreadsheets?

Slides work reasonably; spreadsheets are harder because meaning lives in structure. For numeric data, querying the source system directly usually beats retrieval.

How do we keep it current?

Automatic re-indexing when documents change and a visible last-updated date per source. Stale answers erode trust faster than gaps do.

What does it cost to run?

A penny or two per question at typical volumes, plus retrieval infrastructure. The dominant ongoing cost is keeping the documents tidy.

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