In this conversation, Kimberly L. Tripp and Joe Sack dive into design considerations for embedding models, storage and management of embedding models, model versioning, separate tables for embedding models, switching data and model cut-over, strategic partitioning for data analysis, handling chunking and provenance tracking, recency and legal requirements, read, write, and data structure considerations, and policy-based management for agents.

********** FINAL WEEK: March Madness Pricing **********

For podcast users, use the discount code PodMarch (not case sensitive) for 50% off the two-course bundle:

• Vector Search Essentials (AIVSE)
• Vector Search in Practice (AIVSP)

More Information: https://www.sqlskills.com/product/sql-server-vector-search-bundle/

********** FINAL WEEK: March Madness Pricing **********

Chapters

00:00 Exploring Vector Use Cases
02:44 Embedding Storage Strategies
05:29 Managing Embedding Models
08:10 Data Partitioning and Embedding
10:42 Designing for Change in Embeddings
13:36 Best Practices for Database Agents