I build retrieval systems that understand your data and deliver the right answers.
See the Search in Action
Demo preview available soon
Ready to fix your retrieval layer?
Book a short, direct session where I analyze your search architecture and show the fastest wins.
The Hidden Bottleneck
Building a demo is easy. Running search in production is hard.
The LLM is fine. The failure comes from how it connects to your data.
The gap between a prototype and a reliable system is the retrieval layer, not the model.
Most AI systems fail for one reason
Real users expose retrieval gaps instantly.
The system returns outdated answers, misses critical documents, or cites the wrong version.
The model isn’t confused. It’s retrieving the wrong context.
This is a retrieval problem. Solving it requires:
Hybrid Search
Semantic understanding + exact keyword precision.
Permission Awareness
Integration with your identity systems. Correct access every time.
Continuous Learning
Ranking improves with feedback, not guesswork.
Source Attribution
Every answer cites its origin. No speculation.
Once this foundation works, any AI interface becomes valuable. Without it, AI stays a demo.
I design and implement retrieval systems that make AI reliable in production.
Search Modernization
Your search runs on aging Solr. It’s slow, costly, and users can’t find what’s available.
I migrate you to OpenSearch with hybrid search. Semantic for intent ("burgundy dress"). Keyword for precision ("SKU-12345"). Result: faster search, higher relevance, lower costs.
Enterprise RAG
I build RAG systems with permission-aware retrieval.
Sales sees sales docs. Engineering sees engineering docs. Every answer is sourced. No leaks. No hallucinations. Semantic caching with Redis reduces LLM traffic and cuts costs.
Relevance Tuning
Your search returns technically correct but irrelevant results.
I tune embeddings, BM25, and ranking to match your domain. Query logs provide insights. A/B tests prove gains. Users finally find what they need.
Search + AI Architect on AWS
About me
OpenSearch migrations, vector search, Redis semantic caching, retrieval design at scale. AWS Community Builder for OpenSearch & GenAI.
I write about these topics at vidanov.com.