Description

Embeddings are a powerful tool available to developers to build scalable, accurate search experiences. But with many embedding models and modalities available, it can be overwhelming to get started. In this session, we'll demystify embeddings for custom applications, covering: - What embeddings are and common use cases across industries - How to choose the best embedding model(s) for your use case and how to get started - A multimodal use case demo of Retail Search using Gemini - Best practices for implementing embeddings for custom applications You’ll also have time for live Q&A, so bring your questions! Join, learn, and engage with the Google Cloud Community: https://goo.gle/ai-community