8/25/2025, 12:00:00 AM ~ 8/26/2025, 12:00:00 AM (UTC)

Recent Announcements

AWS B2B Data Interchange introduces custom validation rules

AWS B2B Data Interchange now supports custom validation rules for X12 EDI documents, enabling you to expand and alter the validation logic of the X12 ANSI standard to align with custom agreements with your trading partners.\n AWS B2B Data Interchange automates validation, transformation, and generation of Electronic Data Interchange (EDI) documents such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can expand and alter the validation logic of the X12 ANSI standard. You can choose if certain elements need to be present and what length and values of elements are allowed for documents to pass the validation. AWS B2B Data Interchange will automatically validate X12 EDI documents against a combination of the X12 standard and your custom rules. Validation status will be communicated in a generated functional acknowledgment X12 EDI document (997/999) and in an emitted EventBridge event. In case of validation failure, AWS B2B Data Interchange will also generate a human-readable plain language explanation of validation errors and store it alongside your output files. You can use these events and data to trigger and streamline your validation remediation workflow, reducing the time and costs to process your X12 documents. Support for custom validation rules for X12 EDI documents is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with building event-driven EDI workloads on AWS B2B Data Interchange, take the self-paced workshop or refer to the AWS B2B Data Interchange user guide.

Amazon EC2 G6 instances are now available in Middle East (UAE) Region

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Middle East (UAE). G6 instances can be used for a wide range of graphics-intensive and machine learning use cases.\n Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage.

Amazon EC2 G6 instances are already available today in the AWS US East (N. Virginia and Ohio) , US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Tokyo, Malaysia, Seoul and Sydney), South America (Sao Paulo) and Canada (Central) regions. Customers can purchase G6 instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans.

To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6 instance page.

Amazon RDS for MariaDB now supports MariaDB 11.8 with MariaDB Vector support

Amazon RDS for MariaDB now supports MariaDB major version 11.8, the latest long-term maintenance release from the MariaDB community. This release supports MariaDB 11.8.3 minor version.\n Amazon RDS for MariaDB 11.8 now supports the MariaDB Vector feature, allowing you to store vector embeddings in your database and use retrieval-augmented generation (RAG) when building your Artificial Intelligence (AI) applications. You can use MariaDB Vector to build generative AI capabilities into your e-commerce, media, health applications, and more to find similar items within a catalog. MariaDB 11.8 also introduces the ability to limit maximum size of temporary files and tables, allowing you to better manage your databases’ storage and prevent potential issues caused by oversized temporary objects. Learn more about these community enhancements in the MariaDB 11.8 release notes and RDS MariaDB release notes. You can initiate a major version upgrade by manually modifying your DB cluster, by restoring a snapshot or by leveraging Amazon RDS Managed Blue/Green deployments to upgrade your databases to RDS for MariaDB 11.8. Learn more about upgrading your database instances in the Amazon RDS User Guide. Amazon RDS for MariaDB 11.8 is available in all AWS regions where RDS MariaDB is available. Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Create or update a fully managed Amazon RDS for MariaDB 11.8 database in the Amazon RDS Management Console.

Amazon Neptune now supports BYOKG - RAG (GA) with open-source GraphRAG toolkit

Today, we are announcing the support of Bring Your Own Knowledge Graph (BYOKG) for Retrieval-Augmented Generation (RAG) using the open-source GraphRAG Toolkit. This new capability allows customers to connect their existing knowledge graphs to large language models (LLMs), enabling Generative AI applications that deliver more accurate, context-rich, and explainable responses grounded in trusted, structured data.\n Previously, customers who wanted to use their own curated graphs for RAG had to build custom pipelines and retrieval logic to integrate graph queries into generative AI workflows. With BYOKG support, developers can now directly leverage their domain-specific graphs, such as those stored in Amazon Neptune Database or Neptune Analytics, through the GraphRAG Toolkit. This makes it easier to operationalize graph-aware RAG, reducing hallucinations and improving reasoning over multi-hop and temporal relationships. For example, a fraud investigation assistant can query a financial services company’s knowledge graph to surface suspicious transaction patterns and provide analysts with contextual explanations. Similarly, a telecom operations chatbot can detect that a series of linked cell towers are consistently failing, trace the dependency paths to affected network switches, and then guide technicians using SOP documents on how to resolve the issue. Developers simply configure the GraphRAG Toolkit with their existing graph data source, and it will orchestrate retrieval strategies that use graph queries alongside vector search to enhance generative AI outputs. To learn more and get started, visit the GraphRAG Toolkit User Guide.

Amazon Bedrock Data Automation supports 5 additional languages for Document Workflows

Amazon Bedrock Data Automation (BDA) now supports five additional languages for document workloads in addition to English: Portuguese, French, Italian, Spanish, and German. With this launch, customers can process documents in these new languages and create blueprints prompts and instructions in these new languages when using BDA Custom Output for documents. Customers using BDA Standard Output will now receive document summaries and figure captions in the detected language of the document.\n BDA is a feature of Amazon Bedrock that enables developers to automate the generation of valuable insights from unstructured multimodal content such as documents, images, video, and audio to build GenAI-based applications. By leveraging BDA, developers can reduce development time and effort, making it easier to build intelligent document processing, media analysis, and other multimodal data-centric automation solutions. BDA can be used as a standalone feature or as a parser in Amazon Knowledge Bases RAG workflows. BDA Documents support for these 5 new languages is now generally available in Europe (Frankfurt), Europe (London), Europe (Ireland), Asia Pacific (Mumbai) and Asia Pacific (Sydney), US West (Oregon), US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more, visit the Bedrock Data Automation product page and the Amazon Bedrock Pricing page.

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