Simplify AI Workflows with Databricks Unity Catalog and Mosaic AI Vector Search

𝗥𝗲𝘀𝗲𝗿𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 𝘁𝗼𝗱𝗮𝘆!

AI workflows are often hindered by fragmented data governance and inefficient retrieval mechanisms. Databricks Unity Catalog provides a unified, secure, and scalable data governance layer, while Mosaic AI’s Vector Search empowers retrieval-augmented generation (RAG) workflows by seamlessly connecting to your data.

In this session,Wilson will guide you through:
- Leverage Unity Catalog’s object model – Metastore, Catalog, Schema, Tables, and Volumes – to organize and govern AI datasets effectively.
-Utilize Delta Sync Index to generate embeddings and create vector search indexes directly from Delta Tables.
-Hands on demo: Build and deploy a vector search endpoint to simplify LLM-based applications.

Duration: 60 mins session (with time for Q&A)

Speaker: Wilson Mok - Microsoft MVP - Data Platform

Whether you're a data engineer, data scientist, or AI practitioner, this session will provide actionable techniques to simplify your AI workflows.

Looking forward to see you all there!