Toronto Data Analytics Meetup

Topic: Scaling Context Engineering and Data Management for AI

Description: Building AI applications today requires managing massive data scale while maintaining high output accuracy. Context engineering, especially retrieval-augmented generation (RAG) with vector search, is a powerful way to improve AI reliability. But as datasets and vector volumes grow, costs often escalate and force trade-offs between accuracy and efficiency. Hybrid search eliminates this compromise.

In this webinar, you will learn about the new hybrid search capabilities introduced in Doris 4.0 and how a major global tech company leveraged Apache Doris to achieve superior accuracy while keeping infrastructure costs under control.

Agenda

• Quick recap of whats new in Apache Doris 4.0
• VeloDB Cloud Doris 4.0 Tech Preview announcement and how to access it
• Real-world example: Hybrid search and analytics processing use case
• Q&A