Vector Databases for Enhanced Classification

Dec 12, 2024 09:00 AM Pacific

Dec 12, 2024 12:00 PM Eastern

Zilliz Webinar | Zoom

Join the Webinar

Vector Databases for Enhanced Classification

What will you learn?

In this webinar, we dive into the use of Milvus as a high-performance vector database tailored for handling large-scale document collections, focusing on European Commission and Parliament acts. Our approach shifts from traditional RAG-based classification to a hybrid search method, leveraging K-Nearest Neighbor (KNN) for pinpointing top documents relevant to classification tasks. This session is ideal for those aiming to refine classification accuracy by leveraging vector-based indexing and hybrid retrieval in vast datasets.

Topics covered:

KNN and Sparse Search Integration: How KNN retrieval combined with sparse search helps extract top documents aligned with classification needs.
Versatile Embeddings for Multilingual and Multi-Domain Applications: The BGE M3-Embedding model is designed to provide robust, high-quality embeddings across multiple languages and domains, making it adaptable for diverse tasks in multilingual and cross-functional environments.
Real-World Application: Step-by-step demonstration using European legislative acts to showcase KNN-driven retrieval and classification workflows.

Meet the Speaker

Join the session for live Q&A with the speaker

Alessandro Saccoia
Co-Founder, Veridien.ai
Data-driven marketing and AI solutions expert. He has extensive experience in international companies like Nielsen Media and Vodafone, leading data science and product teams focused on applying machine learning to business challenges. Teaches AI and Data-Driven Marketing at the IULM University in Milan.