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Amazon MSK now supports vector embedding generation using Amazon Bedrock

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Amazon MSK (Managed Streaming for Apache Kafka) now supports new Managed Streaming for Apache Flink blueprints to generate vector-embeddings using Amazon Bedrock, making it easier to build real-time AI applications powered by up-to-date, contextual data. This blueprint simplifies the process of incorporating the latest data from your Amazon MSK streaming pipelines into your generative AI models, eliminating the need to write custom code to integrate real-time data streams, vector databases, and large language models.

With just a few clicks, customers can configure the blueprint to continuously generate vector embeddings using Bedrock’s embedding models, then index those embeddings in Amazon OpenSearch for their Amazon MSK data streams. This allows customers to combine the context from real-time data with Bedrock’s powerful large language models to generate accurate, up-to-date AI responses without writing custom code. Customers can also choose to improve the efficiency of data retrieval using built-in support for data chunking techniques from LangChain, an open-source library, supporting high-quality inputs for model ingestion. The blueprint manages the data integration and processing between MSK, the chosen embedding model, and the Open Search vector store, allowing customers to focus on building their AI applications rather than managing the underlying integration.

Real-time vector embedding blueprint is generally available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Paris), Europe (London), Europe (Ireland) and South America (Sao Paulo) AWS Regions. Visit the Amazon MSK documentation for the list of additional Regions, which will be supported over the next few weeks. To learn more about how to use the blueprint to generate real-time vector embeddings from your Amazon MSK data, visit the AWS blog .

Amazon S3 Access Grants now integrate with Amazon Redshift

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Amazon S3 Access Grants now integrate with Amazon Redshift. S3 Access Grants map identities from your Identity Provider (IdP), such as Entra ID and Okta, to datasets stored in Amazon S3, helping you to easily manage data permissions at scale. This integration gives you the ability to manage S3 permissions for AWS IAM Identity Center users and groups when using Redshift, without the need to write and maintain bucket policies or individual IAM roles.

Using S3 Access Grants, you can grant permissions to buckets or prefixes in S3 to users and groups in your IdP by connecting S3 with IAM Identity Center. Then, when you use Identity Center authentication for Redshift, end users in the appropriate user groups will automatically have permission to read and write data in S3 using COPY, UNLOAD, and CREATE LIBRARY SQL commands. S3 Access Grants then automatically update S3 permissions as users are added and removed from user groups in the IdP.

Amazon S3 Access Grants with Amazon Redshift are available for users federated via IdP in all AWS Regions where AWS IAM Identity Center is available . For pricing details, visit Amazon S3 pricing and Amazon Redshift pricing . To learn more about S3 Access Grants, refer to the documentation .

AWS CodeBuild now supports additional compute types for reserved capacity

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AWS CodeBuild now supports 18 new compute options for your reserved capacity fleets . You can select up to 96 vCPUs and 192 GB of memory to build and test your software applications on Linux x86, Arm, and Windows platforms. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment.

Customers using reserved capacity can now access the new compute types by configuring vCPU, memory size, and disk space attributes on the fleets. With the addition of these new types, you now have a wider range of compute options across different Linux and Windows platforms for your workloads.

The new compute types are now available in US East (N. Virginia), US East (Ohio), US West (Oregon), South America (Sao Paulo), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Mumbai), Europe (Ireland), and Europe (Frankfurt) where reserved capacity fleets are supported.

To learn more about compute options in reserved capacity, please visit our documentation . To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page .
 

Six new synthetic generative voices for Amazon Polly

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Today, we are excited to announce the general availability of six highly expressive Amazon Polly generative voices in English, French, Spanish, and German.
Amazon Polly is a managed service that turns text into lifelike speech, allowing you to create applications that talk and to build speech-enabled products depending on your business needs.

The generative engine is Amazon Polly’s most advanced text-to-speech (TTS) model. Today, we release six new synthetic female-sounding generative voices: i.e., Ayanda (South African English), Léa (French), Lucia (European Spanish), Lupe (American Spanish), Mía (Mexican Spanish), and Vicki (German). This launch increases the number of generative Polly voices from seven to thirteen and expands our footprint from three to nine locales. Leveraging the same Gen-AI technology that powered the English generative voices, Polly now supports German, Spanish, and French to provide our customers with more options of highly expressive and engaging voices.

Ayanda, Léa, Lucia, Lupe, Mía, and Vicki generative voices are accessible in the US East (North Virginia), Europe (Frankfurt), and US West (Oregon) regions and complement the other types of voices that are already available in the same regions.

To hear how Polly voices sound, go to Amazon Polly Features . For more details on the Polly offerings and use, please read the Amazon Polly documentation and visit our pricing page .

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