Vector search for Amazon MemoryDB is now generally available

Today, we are announcing the general availability of vector search for Amazon MemoryDB, a new capability that you can use to store, index, retrieve, and search vectors to develop real-time machine learning (ML) and generative artificial intelligence (generative AI) applications with in-memory performance and multi-AZ durability. With this launch, Amazon MemoryDB delivers the fastest vector search performance at the highest recall rates among popular vector databases on Amazon Web Services (AWS). You no longer have to make trade-offs around throughput, recall, and latency, which are traditionally in tension with one another. You can now use one MemoryDB database to store your application data and millions of vectors with single-digit millisecond query and update response times at the highest levels of…

Build enterprise-grade applications with natural language using AWS App Studio (preview)

Organizations often struggle to solve their business problems in areas like claims processing, inventory tracking, and project approvals. Custom business applications could provide a solution to solve these problems and help an organization work more effectively but have historically required a professional development team to build and maintain. But often, development capacity is unavailable or too expensive, leaving businesses using inefficient tools and processes. Today, we’re announcing a public preview of AWS App Studio. App Studio is a generative artificial intelligence (AI)-powered service that uses natural language to create enterprise-grade applications in minutes, without requiring software development skills. Here’s a quick look at what App Studio can do. Once I’m signed in to App Studio, I select CREATE A NEW APP using…

Amazon Q Apps, now generally available, enables users to build their own generative AI apps

When we launched Amazon Q Business in April 2024, we also previewed Amazon Q Apps. Amazon Q Apps is a capability within Amazon Q Business for users to create generative artificial intelligence (generative AI)–powered apps based on the organization’s data. Users can build apps using natural language and securely publish them to the organization’s app library for everyone to use. After collecting your feedback and suggestions during the preview, today we’re making Amazon Q Apps generally available. We’re also adding some new capabilities that were not available during the preview, such as API for Amazon Q Apps and the ability to specify data sources at the individual card level. I’ll expand on the new features in a moment, but let’s…

Customize Amazon Q Developer (in your IDE) with your private code base

Today, we’re making the Amazon Q Developer (in your IDE) customization capability generally available for inline code completion, and we’re launching a preview of customization for the chat. You can now customize Amazon Q to generate specific code recommendations from private code repositories in the IDE code editor and in the chat. Amazon Q Developer is an artificial intelligence (AI) coding companion. It helps software developers accelerate application development by offering code recommendations in their integrated development environments (IDE) derived from existing comments and code. Behind the scenes, Amazon Q uses large language models (LLMs) trained on billions of lines of code from Amazon and open source projects. Amazon Q is available in your IDE, and you can download the…