Have you built a RAG (Retrieval Augmented Generation) system, but now face challenges with updating data? In this talk, we will explore how updates are managed in vector databases, focusing particularly on Milvus. We’ll explore the different challenges and practical solutions for maintaining data freshness in scenarios requiring high throughput and low latency. By the end of this session, you'll understand the mechanics behind data updates in Milvus and how to ensure your database remains both accurate and efficient.

5 mins Q&A about Stephen's Presentation

Your CLIP model under-performs in text-only tasks? In this talk, we will introduce our novel multi-task contrastive training method designed to bridge this performance gap. We developed the Jina CLIP model, having in mind to connect long documents, queries and images in one space. During this session, you will gain insights into the methodology behind our training process and the implications of our findings for future multimodal and text-based retrieval systems.

Q&A on Andreas and Saba's talk

Wrap up