Part 3: Master Vector Embeddings with Weaviate

Challenges of Industry ML/AI Applications at scale with Vector Embeddings

As machine learning and artificial intelligence are increasingly applied in real-world scenarios, scaling these systems brings unique challenges. This webinar delves into the complexities of deploying industry-grade ML/AI applications, with practical insights and demonstrations using Weaviate.

Starting with a recap of the previous parts, you’ll explore how these foundational concepts underpin a variety of applications, from secure internal search systems to advanced recommendation engines and multilingual e-commerce platforms. A hands-on demo will showcase the ease of building such systems with Weaviate, followed by a look at the future of AI applications, including agents and Generative Flow Learning (GFL).

What we will cover:

• Review key points from previous Part 1 and 2 on vector embeddings and similarity.
• Understand how ML/AI powers systems like secure internal search, recommendation engines, e-commerce platforms, and Retrieval-Augmented Generation (RAG).
• Learn about the underlying architecture and how to easily create these systems using Weaviate.
• Watch practical demos of real-world ML/AI applications, showcasing their development and functionality.
• Gain insights into emerging trends like AI agents, Generative Feedback Loops (GFL), and their potential impact on scaling AI systems.