Wintrage Technologies
SaaS · AI

Vantix Labs

Adding AI search without a platform rebuild

Needed AI-powered search without rebuilding their stack. We shipped a retrieval-augmented search layer on top of their existing platform.

Search engagement

9 weeks

Time to ship

200K+

Documents indexed

9 weeks

Engagement length

3 engineers

Team size

The challenge

Vantix Labs’ keyword search frustrated users on a knowledge base of over 200,000 documents. A full platform rebuild to support semantic search was estimated at six months — too slow for a competitive market window.


Our approach

We built a retrieval-augmented generation layer that sat alongside the existing platform rather than replacing it, indexing documents into a vector database and routing queries through an LLM-backed retrieval pipeline. The integration shipped as an additive service with no changes to the core platform.


The result

Search relevance scores nearly doubled in user testing, and engagement with search results rose 2× within the first month of rollout — delivered in nine weeks instead of a six-month rebuild.

Built with

Python
LangChain
Vector DB
AWS

Have a similar problem to solve?

Tell us what you're working on and we'll scope it in a free 30-minute call.

Start your project