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RAG & knowledge systems

Ask your company knowledge a question and get a sourced answer

We build retrieval-augmented generation (RAG) systems that let staff or customers ask questions across manuals, policies, contracts and databases, with answers that cite their sources.

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What you get

  • 01Answers in seconds instead of hours of searching
  • 02Faster onboarding for new staff
  • 03Private data kept private

The problem

Why businesses come to us

  • Knowledge is spread across drives, wikis and inboxes.
  • New staff take months to find answers on their own.
  • Public AI tools cannot see your private documents safely.

What's included

Delivered by our team

  • Document ingestion and cleaning
  • Vector search with source citations
  • Permission-aware access by team or role
  • Agentic retrieval for complex questions
  • Chat interface or API
  • Accuracy evaluation and monitoring

How we deliver

A proven, transparent process

  1. Step 1

    01

    Use-case audit

    We identify the conversations and tasks with the clearest return and define what success means.

  2. Step 2

    02

    Knowledge & guardrails

    We connect your content, set the tone, write escalation rules and decide what the AI must never do.

  3. Step 3

    03

    Build & integrate

    We connect the AI to your phone line, website, CRM and calendar, then test it on real scenarios.

  4. Step 4

    04

    Launch & improve

    We monitor conversations, review transcripts and tune answers every week during the first month.

Proof

Related work

All case studies
AI SolutionsConstruction & home services · Australia

AI support assistant for a field-service company

A customer-facing AI assistant that answers booking, pricing and job-status questions, connected to the CRM with human handover.

Level-1 tickets
~40% fewer
Average reply time
Under 3 seconds
Uptime after launch
99.9%
Client under NDARead case study

More examples are available under NDA

Many clients ask us not to publish their work. On a call we can walk you through private projects that match your situation.

Book a walkthrough

FAQ

RAG & knowledge systems: common questions

What is RAG?

Retrieval-augmented generation means the AI first finds the relevant passages in your documents, then writes an answer based only on them, with citations.

Which file types are supported?

PDF, Word, Google Docs, Notion, Confluence, spreadsheets, websites and most databases.

Can it run on our own servers?

Yes. We can deploy with open-source models on your cloud for full data control.

Packages

Included in our packages

GrowBusinesses losing leads to slow follow-up$4,900 one-time, fromView package ScaleEstablished businesses with operational bottlenecks$9,500 one-time, fromView package MVP SprintStartups and founders$7,500 fixed scope, fromView package

Ready to talk about RAG & knowledge systems?

Book a 30-minute strategy call. You will speak with a senior strategist, leave with a clear plan, and receive a written, fixed-scope proposal afterwards.

Book a strategy call+92 318 053 0602
  • 30-minute call with a senior strategist, not a salesperson
  • Prefer email? Write to info@kokatta.com. We reply within 24 hours.
  • Prefer writing? Send a project brief
  • Taking on new projects for the coming quarter