Scaling Context Engineering and Data Management for A
Details
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
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