Session

AI Search: High Quality Retrieval Made Easy

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Overview

ExperienceIn Person
TrackArtificial Intelligence & Agents
IndustryEnterprise Technology, Financial Services
TechnologiesUnity Catalog, Databricks Agents
Skill LevelIntermediate

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