How can you achieve exact product matches when generic semantic search falls short? I will explain why enterprise needs, like brand-aware substitutions and precise unit handling, require AI that goes beyond simple vector similarity. This talk will illustrate a multi-stage design combining hybrid retrieval, machine-learned ranking, and LLM reasoning for high-precision results. You will learn how to implement human-in-the-loop workflows to refine models and handle complex, ambiguous queries effectively. Join me to discover how these scalable AI pipelines solve nuanced search problems through real-world enterprise implementation.
