Build your own generative AI powered apps
Science & Technology
Introduction
Did you know you can build your own AI-powered Vector search applications with Vertex AI search? By utilizing Vector search and embeddings in Vertex AI search, you can create search recommendations and other advanced applications for various use cases such as e-commerce and ad serving. The Vector search, formerly known as the Vertex Matching Engine, indexes data as vector embeddings and swiftly finds the most relevant embeddings at scale using an efficient search algorithm called the approximate nearest Neighbors. This algorithm ensures high throughput, high recall, and low latency in handling data. To further simplify the process, the user interface has been updated to allow developers to create and deploy indexes without the need for coding. The index creation time for smaller indexes has been reduced from hours to minutes, along with enhancements to filtering capabilities and documentation. Getting started is now faster and more accessible without any coding skills required.
Keywords
- AI-powered
- Vector search
- Vertex AI
- Embeddings
- E-commerce
- Approximate nearest Neighbors
- User interface
- Index creation
- High throughput
- Low latency
FAQ
How can developers build their own Vector search applications with Vertex AI search? Developers can leverage the capabilities of Vertex AI search, specifically Vector search and embeddings, to create their AI-powered search applications without the need for extensive coding skills.
What are the advantages of using the approximate nearest Neighbors algorithm in Vector search? The approximate nearest Neighbors algorithm in Vector search allows for fast and efficient retrieval of relevant embeddings at scale, ensuring high throughput, high recall, and low latency in processing data.
How has the user interface been updated to make the process more accessible? The user interface has been enhanced to enable developers to easily create and deploy indexes without requiring any coding, making it more user-friendly and accessible for individuals with varying levels of technical expertise.