Easy, fast, and accurate predictions for graphs – Amazon Neptune ML …
Amazon Neptune ML uses graph neural networks (GNNs), a machine learning (ML) technique purpose built for graphs, to make easy, fast, and more accurate predictions using graph data. Make predications without prior ML experience while improving the accuracy of most predictions for graphs by over 50% when compared to that of non-graph methods.
Read graphs, diagrams, tables, and scanned pages using …
Nov 26, 2024 · In this post, we demonstrate how to use models on Amazon Bedrock to retrieve information from images, tables, and scanned documents. We provide the following examples: We also explore specific use cases where Amazon …
Amazon Neptune ML for machine learning on graphs
The Neptune ML feature makes it possible to build and train useful machine learning models on large graphs in hours instead of weeks. To accomplish this, Neptune ML uses graph neural network (GNN) technology powered by Amazon SageMaker AI and the Deep Graph Library (DGL) (which is open-source).
New Amazon Bedrock capabilities enhance data processing and …
Dec 4, 2024 · Today, Amazon Bedrock introduces four enhancements that streamline how you can analyze data with generative AI: Amazon Bedrock Data Automation (preview) – A fully managed capability of Amazon Bedrock that streamlines the generation of valuable insights from unstructured, multimodal content such as documents, images, audio, and videos.With Amazon Bedrock Data Automation, you can build ...
Diagram-as-code using generative AI to build a data model for Amazon …
Nov 13, 2023 · In this post, we showed how, in stage one of your graph initiative, to discover a graph data model using generative AI and diagram-as-code tools. This allows you to quickly build a starting point model and test-drive it to ensure it meets your requirements. Generative AI accelerates discovery.
Introducing Amazon Nova foundation models: Frontier …
Dec 3, 2024 · Today, we’re thrilled to announce Amazon Nova, a new generation of state-of-the-art foundation models (FMs) that deliver frontier intelligence and industry leading price performance, available exclusively in Amazon Bedrock.. You can use Amazon Nova to lower costs and latency for almost any generative AI task. You can build on Amazon Nova to analyze complex documents and videos, understand ...
Improving Retrieval Augmented Generation accuracy with GraphRAG
6 days ago · To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to ground AI outputs in relevant context.
Knowledge Graphs and GraphRAG with AWS and Neo4j
Nov 26, 2024 · Those applications can run in a variety of AWS platforms, including AWS Lambda, Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Elastic Kubernetes Service (Amazon EKS). Client applications can make calls into functions hosted in SageMaker AI. Those functions query Amazon Bedrock.
Guidance for Digital Thread Using Graph and Generative AI on AWS
By integrating knowledge graph and generative AI, you can enhance data integration, improve semantic understanding, and enable intelligent and context-aware applications—ultimately leading to a more personalized user experience.
Building a Manufacturing Digital Thread using Graph and Generative AI ...
Nov 25, 2024 · In this blog post, we explain how to create a manufacturing digital thread application by combining the capabilities of Amazon Neptune and Amazon Bedrock. Using generative AI technology with the graph enables business stakeholders to get insights faster in a conversational way.