ServicesOperations
Knowledge Base AI (RAG)
Answers from your own documents for staff and customers, with sources.
Your company already knows the answer. It is in a PDF someone wrote two years ago. The knowledge base turns documents into answers people can find in seconds, with the source attached so they can trust it.
What you get
- 01
A search and answer system over your documents, wiki, tickets and policies
- 02
Every answer cites its source, so people can verify it
- 03
Access control so users only see what they are allowed to see
- 04
Available in Slack, Teams, Telegram, your intranet or your product
- 05
Automatic re-indexing when documents change
How it works
Collect and clean
We connect your document sources, remove duplicates and outdated versions, and structure what remains.
Build the retrieval layer
Documents are chunked, embedded and indexed with permissions attached. This is where quality is won or lost.
Test with real questions
Your experts ask the questions they get every week. We measure accuracy and fix the gaps.
Deploy where people work
Inside the tools your team already uses, with the same login.
B2B SaaS startup
Tickets reaching human agents dropped by 55%, with answers in three languages.
Read the caseCommon questions
Will our documents be sent to a public model?
Documents are stored in your own infrastructure. Model calls use commercial APIs with no training on your data, or a private model if you need it.
How accurate is it?
It depends on the documents. We measure accuracy on your real questions during the prototype and report it honestly before you decide.
Does it handle Arabic documents?
Yes, including mixed-language documents and scans.
Get a quote
Ask about knowledge base ai (rag).
Describe the situation in a few lines. You get a reply from an engineer on the next business day, with an honest view on whether AI will pay back and what the first step looks like.