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How to build a shop-floor knowledge base

Updated 4 min read

The short answer

Build a shop-floor knowledge base by giving each useful document, incident note and supplier record a clear title, source and category. Save articles and links in KnowMan, then use semantic search and cited answers to retrieve operating knowledge without rebuilding it from memory. Keep camera observations separate unless a person records the relevant context and source.

On this page9 sections
  1. Define what belongs in the library
  2. Save source material consistently
  3. Turn downtime notes into reusable entries
  4. Organize supplier and quality records
  5. Use camera monitoring as an editorial reference
  6. Search by meaning, then verify
  7. Connect the library to AI agents
  8. Where KnowMan fits
  9. Questions people ask

Define what belongs in the library

Start with four collections: standard operating procedures, downtime causes, supplier notes and quality findings. Give every item a title that states the machine, process or issue. For example, use "Hydraulic press A, stop code 14" instead of "Press problem".

Record the author, date, machine or work area, and applicable procedure version where available. This makes an entry easier to judge during a shift and easier to find later.

Save source material consistently

Save the procedure, article or link to the relevant collection. KnowMan reads and tags saved items, so consistent titles and tags help keep the library orderly. See How to save articles for a broader saving workflow.

For a downtime event, write a short note beside the saved source when possible. State what stopped, what was checked, what action was taken and whether the issue returned. Keep the note factual and link it to the relevant equipment.

Turn downtime notes into reusable entries

Separate each downtime cause from its narrative. Use fields for symptom, likely cause, check performed, corrective action and result. Keep uncertain causes labelled as hypotheses until they are confirmed.

After resolution, replace an old note with a current procedure when the answer changes. Keep superseded material searchable, but mark its status so an operator can distinguish current guidance from history.

Organize supplier and quality records

Save supplier notes under the supplier name, material or part, and relevant specification. Include the source document and date. For quality findings, record the part, inspection point, finding and disposition. Do not treat a reference image as the full specification.

Use one quality entry per issue or lot where possible. This keeps the search result focused and makes it easier to identify which reference or procedure applies.

Use camera monitoring as an editorial reference

FactoryVision provides camera-based machine monitoring and visual inspection for make-to-order factories. Its Factory Analytics feature counts finished work with one camera per machine, without sensors or wiring into the machine, and runs its models on a small computer in the factory.

Its visual QA can check whether a part looks normal, measure dimensions with calibration, and check required items in marked zones. These outputs can inform a human-written KnowMan note, but the camera observation and its production context still need a recorded source.

Search by meaning, then verify

Search for the task rather than the exact document name. A query such as "how do we clear code 14 on the hydraulic press" may be more useful than searching only for a procedure title. KnowMan searches saved items by keyword or meaning, and the personal knowledge base guide explains the wider workflow.

When an answer matters to production, open the cited source and confirm that it matches the machine, part, shift and current procedure version. Search narrows the library. It does not replace that final check.

Connect the library to AI agents

KnowMan provides an MCP server for AI agents. It can search saved items, ask questions with citations, read an item, save a URL and retrieve recent items or memories through documented tools. See Knowledge bases for AI agents and the MCP server guide.

The server runs as a local stdio server or as a hosted remote server. OAuth and API-key setup are documented in the KnowMan MCP repository.

Where KnowMan fits

KnowMan fits as the searchable record layer for one factory's operating knowledge. Keep source systems responsible for their own measurements, then save the procedure, explanation and confirmed action that people need to retrieve.

Start with one owner, such as a process engineer, who saves the current SOPs and confirmed downtime causes and keeps the library tidy. A clear ownership and review routine keeps the entries trustworthy as the library grows.

FactoryVision covers the other half of this loop in turn downtime causes into a knowledge base.

Questions people ask

What should a small factory save first?

Start with current SOPs, confirmed downtime causes, supplier notes and quality findings. Give each entry a clear title, source, date and machine or process context so it can be found and checked.

How should camera observations enter a knowledge base?

Record the observation, source, date, machine or part, and production context in a note. FactoryVision provides camera-based monitoring and visual inspection, while KnowMan stores the written record and source link.

Can AI agents search the factory library?

Yes. KnowMan's MCP server provides tools for searching saved items, asking questions with citations, reading items and saving URLs. See the KnowMan MCP repository for setup details.

Who should own the shop-floor library?

Begin with one owner, for example a process engineer or quality lead, who saves the SOPs, downtime causes and supplier notes and checks each entry against its source.

Start with the knowledge your floor needs

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