AI Search · part of Document Control

AI Document Search Ask the library a question. Get the answer and the page it came from.

Search the text inside every controlled drawing, procedure and specification, including scanned PDFs. Ask a question in your own words and get a short answer that cites the document number, revision and page.

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Ask the library: flange bolt torque, 2 inch ball valve? Answered · 3 citations

WI-ASM-014 Rev CBolt tightening sequence, p. 4Current
SPEC-FAS-002 Rev FTorque table, B7 studs, p. 2Current
SOP-QA-031 Rev BTorque audit frequency, p. 1Current
Related: DRG-4410-2207Found by meaning, not exact wordsRelated

The basics

What is AI document search?

AI document search finds information inside documents by meaning as well as by exact words. It reads the text of each file, including scans, ranks the passages that best match a question and can write a short answer from them, citing the source. Here it works only over your controlled, current documents.

The answer usually exists. It is on page 4 of a work instruction, in a spec someone revised last year or in a scanned drawing note. People ask the one engineer who remembers, or they open ten PDFs. Worse, they find the answer in a superseded copy and act on it.

Features

Intelligent document search and an AI knowledge base for your plant

Search inside every file

Text is pulled from PDFs, Word, Excel and CSV files, and scanned pages and images are read with OCR. Results show the matched words highlighted, with the page number, and open the preview at that page.

Semantic search with hybrid ranking

Keyword matches and meaning matches are combined and reranked, so "how tight do the flange bolts go" finds the torque table. A separate list shows related documents found by meaning.

Chat with documents, with citations

Ask the library a question and get a two to five sentence answer. Every claim cites the document number, revision and page, and each citation opens the source. If nothing covers it, it says so.

Same permissions as your documents

Search and answers only draw on documents the person asking can open. Nobody sees a snippet, a count or a document number from a folder they have no access to.

Current revisions by default

Only current revisions are searched unless you tick history. Hits from superseded or obsolete revisions are clearly labelled, so old text is never passed off as current.

Administrator controls and audit

Choose whether answers are off, run on a model you host or use a cloud model in your own account. Set a daily limit per user, exclude folders, and review every question, its citations and user feedback.

Connected

AI Search doesn't live alone

AI Search indexes the files in Document Control as each revision is published and follows the same folder and document permissions. Opening a hit takes you to the document's preview at the matching page.

Standards and industries

AI in quality control, kept inside your document rules

Industry	Standard	What you get
General manufacturing	ISO 9001	Answers drawn from current, approved documents, with the revision cited
Automotive	IATF 16949	Find requirements inside drawings, specifications and work instructions by page
Aerospace and defence	AS9100D	Access-controlled search, every question logged, answers off unless an administrator turns them on

FAQ

AI document search questions

Still unsure? Ask our team.

What is RAG?

RAG, retrieval augmented generation, is a way of answering questions with a language model while grounding it in your own documents. The system first retrieves the most relevant passages, then asks the model to answer only from those passages and cite them.

How does RAG work here?

Your question is matched against passages from the documents you can open, by keywords and by meaning. The best passages are reranked, at most eight short ones are passed to the answer model, and the answer must cite them. If no passage is relevant enough, no answer is written.

What is semantic search?

Semantic search matches the meaning of a query rather than its exact words. A search for "flange bolt tightness" can find a page that says "torque B7 studs to 45 Nm". YourBrand combines it with keyword search so exact part numbers and codes still match.

What is enterprise search?

Enterprise search lets people search a company's own information in one place, with access rules applied. YourBrand applies it to controlled documents, with the same permissions as Document Control.

Are our documents sent to an outside AI service?

Not by default. Text extraction, OCR, embeddings and ranking all run inside your YourBrand deployment, cloud or on-premise. Written answers are off until an administrator picks a model you host or a cloud model in your own account, and even then only the question and a few retrieved passages are sent.

Which file types can it search?

PDF, including scanned PDFs, PNG and JPEG images through OCR, Word, Excel and CSV. CAD files such as DWG and STEP are found by document number and title only.

Which languages does it support?

English for OCR, meaning search and answers.

Let your team ask the library

We walk through it with your own parts and documents. It takes about 30 minutes.

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Related: Document Control suite Document control software Digital checklist software Aerospace ISO 9001