Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon Neptune Analytics

Favorite Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. This capability enhances responses from generative AI applications by automatically creating embeddings for semantic

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Shared by AWS Machine Learning March 7, 2025

Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

Favorite In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with organization-specific data. As businesses increasingly rely on AI-powered solutions, the need for accurate, context-aware, and tailored responses has never been more critical. Enter the powerful

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Shared by AWS Machine Learning March 6, 2025

Build a Multi-Agent System with LangGraph and Mistral on AWS

Favorite Agents are revolutionizing the landscape of generative AI, serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems are poised to become the cornerstone of AI adoption across industries, heralding a new era of human-AI collaboration and problem-solving. By using the power of

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Shared by AWS Machine Learning March 6, 2025

Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

Favorite Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. However, building and deploying trustworthy AI assistants requires a robust ground

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Shared by AWS Machine Learning March 5, 2025

Time series forecasting with LLM-based foundation models and scalable AIOps on AWS

Favorite Time series forecasting is critical for decision-making across industries. From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions, mitigate risks, and allocate resources efficiently. However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development.

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Shared by AWS Machine Learning March 5, 2025

Innovating at speed: BMW’s generative AI solution for cloud incident analysis

Favorite This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group. The BMW Group—headquartered in Munich, Germany—is a vehicle manufacturer with more than 154,000 employees, and 30 production and assembly facilities worldwide as well as research and development locations across 17 countries. Today,

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Shared by AWS Machine Learning March 5, 2025

Accelerate AWS Well-Architected reviews with Generative AI

Favorite Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and

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Shared by AWS Machine Learning March 4, 2025

Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

Favorite Today, we are excited to announce that Pixtral 12B (pixtral-12b-2409), a state-of-the-art 12 billion parameter vision language model (VLM) from Mistral AI that excels in both text-only and multimodal tasks, is available for customers through Amazon Bedrock Marketplace. Amazon Bedrock Marketplace is a new capability in Amazon Bedrock that

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Shared by AWS Machine Learning March 3, 2025