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Private knowledge bases & RAG · your documents, answerable

AI agents & RAG solutions over your private documents.

A private AI layer over your contracts, manuals, price lists and policies, so staff and customers get grounded answers with the source shown — and the data stays yours.

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  • Answers cite the source document
  • Arabic & English documents
  • Role-based access and audit log
  • UAE-region hosting available

What's included

Everything you need to trust the answer.

Search, permissions, logging and hosting are part of the build — a knowledge base is only useful if the right people get the right answer and nobody else does.

Internal staff copilot over company documents

Ask in plain language, get the answer with the paragraph it came from. SOPs, HR policy, price lists, past proposals — whatever your team keeps re-asking each other.

Customer-facing knowledge assistant

The same layer exposed to customers on your site or WhatsApp, limited to what you choose to publish, and handing over to a person when the question goes beyond it.

Contract, policy & manual search

Find the clause, the warranty term or the maintenance step across thousands of pages, including scanned PDFs after OCR.

Arabic & English document understanding

Arabic contracts and English manuals in the same index. Ask in either language and get the answer in the one you asked in.

Access control & audit logging

Who can see what mirrors your existing permissions. Every question and answer is logged, so you can audit what was asked and what was shown.

On-region hosting options (UAE data residency)

Index and documents can stay in UAE-region infrastructure you own, with model calls made under no-training data policies.

How it works on your stack

Retrieve first, answer second, cite always.

The model never answers from memory. It answers from the passages the system found, and it shows them.

The flow

  1. Documents ingested
  2. Indexed with permissions
  3. Question asked
  4. Passages retrieved
  5. Answer with sources
  6. Unsure → a person

Engineering decision. The assistant is only allowed to answer from retrieved passages, and it shows them. If nothing relevant is found it says so instead of improvising — an honest 'I don't know' is cheaper than a confident wrong clause.

Connects to

  • SharePoint / Google Drive
  • Zoho / HubSpot
  • Your ERP
  • Postgres + pgvector
  • Scanned PDFs (OCR)
  • WhatsApp Business API
  • Website widget
  • UAE-region cloud

Through official APIs and webhooks. Nothing is replaced; your system of record stays the source of truth.

  1. 1Week 1

    We look at the documents, not the hype

    Which files, where they live, how clean they are, who may see them. You get a written scope and a fixed price.

    You get: Scope + fixed quote

  2. 2Weeks 2–4

    We build the index and the guardrails

    Chunking that respects your document structure, permissions carried through from the source, and a test set of real questions with known answers.

    You get: Working knowledge base on your stack

  3. 3Before go-live

    We measure it on your questions

    Your team writes the questions; we score the answers against them. Wrong or unsourced answers are fixed or refused before anyone relies on it.

    You get: Measured accuracy, defined failure modes

  4. 4Ongoing

    New documents flow in

    Re-indexing when files change, logs of what was asked, and a review of unanswered questions so the gaps get filled.

    You get: Monitoring + full ownership

Want a rough scope before you talk to anyone? Try the estimatorFixed price per project, agreed after a free scoping conversation.

Questions

What owners ask about knowledge bases.

Short answers. If yours isn't here, send it on WhatsApp or use the contact form. You get a straight reply within one business day.

Retrieval-augmented generation. Instead of asking a model to remember your business, the system first finds the relevant passages in your own documents, then writes an answer from those passages and shows where it came from. The model never sees documents it was not given.

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