AI Search: High Quality Retrieval Made Easy

Overview
| Experience | In Person |
|---|---|
| Track | Artificial Intelligence & Agents |
| Industry | Enterprise Technology, Financial Services |
| Technologies | Unity Catalog, Databricks Agents |
| Skill Level | Intermediate |
Measuring and tuning performance and retrieval quality for Search bars, recommender systems, entity resolution traditionally required quarters of tuning, a team of domain experts, and ongoing maintenance that kept engineers away from building the actual application. Databricks AI Search makes it simple to build a state-of-the-art retrieval system, with quality bespoke to your application.
In this talk we’ll show you how easy it is to deploy a production grade Search with the latest advances in hybrid (keyword-plus-semantic) search, reranking, domain-tuned models, evaluate retrieval quality for your corpus, and build feedback loops that continuously improve your retrieval quality.
You'll see what's shipped, what's next, and walk away with a production-ready stack and a working playbook for measuring and improving retrieval quality
Session Speakers
Ankit Vij
/Engineering Lead - AI Search
Databricks
Sanjit Jhala
/Software Engineer
Databricks