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RAG Systems

Answers from your documents, with the receipt attached

A general model guesses. A retrieval system looks it up. We connect your contracts, manuals, policies and tickets to a question-answering layer that quotes the passage behind every answer, and says it does not know when the corpus does not say.

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What is included

Corpus preparation

Documents are parsed, chunked and cleaned. Scanned PDFs, tables and duplicated versions are handled explicitly rather than silently degrading answers.

Retrieval that is measured

We build a question set from real user questions and tune retrieval against it, so quality is a number you can watch instead of an impression.

Permissions preserved

Retrieval respects the access rules of the source systems. A user never receives a passage from a document they could not open themselves.

Citations and refusals

Every answer links to the passage it came from, and low-confidence questions return a refusal with the nearest documents rather than an invented answer.

Example output

One answered question, with the trace the reviewer sees.

question   "can a reseller return opened units after 30 days?"
retrieved  reseller-agreement-2025.pdf p.12   score 0.83
           returns-policy-v4.md  section 3.2  score 0.79
answer     No. Opened units are returnable within 30 days only,
           and only with the original packaging (agreement 7.4).
cited      reseller-agreement-2025.pdf, p.12, clause 7.4
confidence high        permissions: partner-portal role required
fallback   below 0.55 -> refuse and show the 3 nearest documents

Illustrative example, not a real client corpus.

Common questions

How is this different from pasting our documents into ChatGPT?

A general model answers from memory and sounds equally confident when it is wrong. A retrieval system searches your corpus first, answers only from what it found, and links the passage it used. It also refuses when the documents do not contain the answer, which a chat window will rarely do.

What kinds of documents can it handle?

Contracts, manuals, policies, wikis, spreadsheets, support tickets and email threads. Scanned PDFs go through OCR, tables are extracted rather than flattened into noise, and duplicate versions of the same document are resolved explicitly so the system does not quote the outdated one.

Does it respect our existing permissions?

Yes. Retrieval is filtered by the access rules of the source systems, so a user never receives a passage from a document they could not open themselves. Permission changes in the source propagate rather than being copied once at indexing time.

What happens when the answer is not in the documents?

The system returns a refusal together with the closest documents it did find, so the person can judge for themselves. A wrong answer that reads as authoritative costs far more than an honest ‘this is not written down anywhere I can see’.

If your team keeps asking the same question

The answer is usually already written down somewhere nobody can find. That is the problem this solves.

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