Search That Actually Finds What You Need

I build intelligent search and retrieval systems that understand meaning, not just keywords.

Generic search can't handle synonyms, typos, or user intent. Results frustrate users and lose sales.

Poor retrieval quality causes downstream generation failures. Your AI assistant makes things up.

No baseline metrics, no evaluation framework. Decisions made by gut feel, not data.

Measurable Improvement

I establish baselines, track NDCG/MRR, and prove ROI. No vague promises—quantified results.

Production-Ready

Not POCs that die in pilot. Systems that scale, with monitoring and maintenance paths.

Domain Expertise

Fine-tuned models for your data. Generic embeddings fail on specialized domains, I fix that.

Services

From quick audits to full RAG implementations

$5-15K

Know where you stand before spending on solutions

$25-75K

Measurable search quality improvement

$50-150K

Embeddings trained on your data

$75-150K

RAG that works in production

Technical deep-dives on search, embeddings, and RAG

Generic search engines fail at understanding user intent. Here's what you can do about it.

When we switched from OpenAI embeddings to custom fine-tuned models, retrieval quality jumped 35%.

NDCG, MRR, Precision@K—what matters and how to measure it in production.

Start with an audit. I'll quantify your current state and map the path to improvement.