Company Knowledge
Search your business the way you would ask a colleague.
Ask a question in plain language and get an answer drawn from your approved business information, with the source files behind it. Retrieval respects permissions, so people see only what they are allowed to see.
The knowledge exists. Finding it is the problem.
Estimates, contracts, procedures, and past work live across drives, email, and business software. The answer to a question is usually somewhere in there. Company Knowledge makes it findable in plain language.
- Ask in plain language instead of hunting through folders.
- Get a concise answer, not a list of ten files to open.
- See the exact sources so you can verify the answer.
Question
What did we quote for our last kitchen remodel of this size, and what were the main line items?
Answer
Your most recent comparable kitchen remodel was quoted as a fixed project price. The largest line items were cabinetry, countertops, and labor. Two earlier bids for similar scopes are attached for comparison.
Sources
- kitchen-remodel-estimate.pdfp. 2
- bid-comparison.xlsxsheet 1
- change-order-log.pdfp. 4
Retrieval-augmented generation, in plain English
How it turns your files into answers.
Company Knowledge uses retrieval-augmented generation, or RAG. The idea is simple: find the relevant information first, then answer from it. That keeps answers tied to your documents rather than general knowledge.
- 1
Retrieve
Find the passages in your approved documents that are relevant to the question.
- 2
Read
Read those passages, respecting the permissions of the person asking.
- 3
Answer with evidence
Write a concise answer and show the file, page, and excerpt it came from.
Permission-aware retrieval
No single unrestricted index.
Company Knowledge does not build one open pile of everything. Retrieval is permission-aware, so each person only gets answers from the information they are already allowed to access.
Access follows your rules
Answer plus evidence
Honest limits
What it does not do.
Company Knowledge is only as good as the documents behind it. It answers from the information you approve, so gaps or errors in your files can show up in answers. Any AI system can also be wrong, which is why answers are source-backed: you should read the evidence before acting on anything that matters.
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