Add AI Search to Website — Without Re-launching Your Site
Production AI that grounds answers in your data
What you're seeing
Your site search returns weak results and users bounce when they can't find what they need.
Our approach
We replace the search box with semantic + keyword hybrid search backed by embeddings — with re-ranking and analytics so you can keep improving.
Symptoms teams come to us with
- Off-the-shelf bots look cheap or answer off-brand
- The assistant invents facts and users have noticed
- Support is drowning in repetitive tier-1 questions
- You have the data but no production-grade pipeline
What we get right
- 01Retrieval grounded in your own docs and catalogue
- 02Guardrails, citations and confident-but-wrong prevention
- 03Clean human hand-off when confidence drops
- 04Per-conversation cost, latency and analytics controls
What you get
Concrete deliverables, no fluff
Every engagement ends with measurable, documented outcomes — no black-box agency reports.
Use-case discovery + dataset prep
RAG-grounded prototype on your knowledge base
Production rollout with guardrails + analytics
Cost-control + escalation runbook
From brief to shipped fix
A transparent, low-risk process — a senior engineer reads your brief personally, and nothing starts until you approve a written plan and price.
Diagnose
A senior engineer reviews your brief, reproduces the issue, and pinpoints the real root cause — not the symptom — before any code is touched.
Scoped plan & quote
You get a written plan to add AI Search to Website, a firm timeline, and a fixed quote. Nothing starts until you approve it — no surprise invoices.
Ship the fix
We implement on a branch and open a pull request you review, working to your code-review standards on your repo — never a black box.
Verify & hand off
We verify on staging and production, share before/after evidence where it applies, and leave you a short hand-off note so the fix sticks.
Why teams hand this task to Krapton
Senior engineers only
Your brief is read and handled by a senior engineer — no junior hand-off, no sales-rep filter in between.
Root cause, not a patch
We reproduce and fix the underlying cause, then add a guard so the same class of issue does not quietly return.
Your repo, your standards
Every change lands as a pull request you review, on your repository, following your existing review process.
NDA on day one
Confidentiality and IP are covered before we look at a single line of code. All work stays in your accounts.
Fixed quote up front
You approve a written plan and price before work starts. If scope changes, we re-quote in writing — no surprise invoices.
Proof, where it applies
Performance, SEO and reliability work ships with before/after evidence so the result is measurable, not anecdotal.
Three ways to engage
No retainer required. Pick the model that matches the work — pricing for this task starts from $3,000, with a fixed quote before anything starts.
Per task
Most popularOne clearly-scoped fix at a fixed price. Best when you know exactly what is broken and want it handled end to end.
- Fixed quote up front
- One PR, reviewed by you
- No retainer required
Hourly
Pay only for the hours worked. Best for diagnostics, audits, or exploratory work where the scope is still emerging.
- Weekly timesheets
- Pay for what you use
- No minimum commitment
Per sprint
A focused 1–2 week sprint when the work is bigger than one fix but smaller than a full project.
- 1–2 week blocks
- Clear sprint goal
- Scale up or stop anytime
Tooling we use
Industry-standard stack, no proprietary lock-in
Add AI Search to Website — your questions, answered
How much does it cost to add AI Search to Website?
Pricing starts from $3,000 and depends on the scope we find during the diagnostic. You get a fixed, written quote before any work begins — most engagements like this run 2–6 weeks.
How long does it take to add AI Search to Website?
Typically 2–6 weeks for a focused engagement. After a short diagnostic we commit to a firm timeline so you know exactly what to expect.
Will you work directly on our existing codebase?
Yes. We work on your GitHub, GitLab or Bitbucket, ship every change as a pull request you review, and follow your code-review standards — not ours.
What exactly will I have at the end?
Concrete, documented outcomes — Use-case discovery + dataset prep, RAG-grounded prototype on your knowledge base, Production rollout with guardrails + analytics, and more. No black-box agency report.
How quickly can you start, and do you sign an NDA?
For a focused task like this we can usually start within 24–48 hours of the brief. We sign an NDA on day one, before we look at any code — yours or ours.
How do you stop the AI from hallucinating or going off-brand?
We ground answers in your own content with retrieval, require citations, add guardrails and confidence thresholds, and hand off to a human when the model is unsure — so it stays accurate and on-brand in production.
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Let's get this off your plate
Send a 60-second brief on Add AI Search to Website and a senior engineer replies within 24 hours with a plan and a fixed quote. NDA on day one, no retainer required.