Multi-agent AI systems now orchestrate complex workflows requiring frequent foundation model calls. In this session, learn how you can reduce latencies to single-digit milliseconds from single-digit seconds with vector search for Amazon ElastiCache for Valkey in agentic AI applications using semantic caching, while also reducing the cost incurred from your foundation models for production workloads. By implementing semantic caching in agentic architectures like RAG-powered assistants and autonomous agents, customers can create performant and cost-effective production-scale agentic AI systems.

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

In this session, gain the skills needed to deploy end-to-end agentic AI applications using your most valuable data. This session focuses on data management using processes like Model Context Protocol (MCP) and Retrieval Augmented Generation (RAG), and provides concepts that apply to other methods of customizing agentic AI applications. Discover best practice architectures using AWS database services like Amazon Aurora and OpenSearch Service, along with analytical, data processing and streaming experiences found in SageMaker Unified Studio. Learn data lake, governance, and data quality concepts and how Amazon Bedrock AgentCore and Bedrock Knowledge Bases, and other features tie solution components together.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Unlock the potential of intelligent autonomous agents that combine real-time streaming data with Retrieval Augmented Generation (RAG) for dynamic decision-making. You will learn how to use streaming technologies like Amazon Kinesis, Amazon MSK, and Managed Service for Apache Flink create a robust pipeline to transform raw events into actionable insights. This session will show you how autonomous agents leverage these real-time insights with RAG architecture powered by OpenSearch, enabling immediate, context-aware responses to changing conditions. This practical architecture drives real-world value in critical scenarios like predictive maintenance, automated incident response, and intelligent customer service automation, with improved accuracy and reduced latency.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Learn to build a production-grade agentic RAG system using Amazon Bedrock Knowledge Bases, Strands, and AgentCore in this expert-level code talk. Through live coding and detailed walkthroughs, learn how to build an intelligent event assistant agent that integrates knowledge retrieval, long-term memory, and user authentication. This hands-on session covers the complete journey from knowledge base setup through agent creation, memory integration (short-term and long-term), runtime deployment, and identity management. Prerequisites: strong experience with Python and familiarity with RAG concepts.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Unstructured data often holds untapped value, and Amazon SageMaker makes it possible to turn that data into insights and AI-ready assets. In this session, you'll learn how to bring unstructured data from Amazon S3 into SageMaker, create searchable assets, and build knowledge bases for Amazon Bedrock to improve retrieval-augmented generation (RAG) accuracy. Discover how teams can collaborate across roles, data users can self-serve to find and understand the right data, and governance ensures that the right people get the right access. Bayer will share how they use these capabilities to unlock unstructured data and accelerate research and innovation.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

With the newfound prevalence of applications built with large language models (LLMs) including features such as Retrieval Augmented Generation (RAG), agents, and guardrails, a responsibly-driven evaluation process is necessary to measure performance and mitigate risks. This session covers best practices for a responsible evaluation. Learn about open access libraries and AWS services that can be used in the evaluation process, and dive deep on the key steps of designing an evaluation plan including defining a use case, assessing potential risks, choosing metrics and release criteria, designing an evaluation dataset, and interpreting results for actionable risk mitigation.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Explore Amazon Bedrock's robust model evaluation capabilities, designed to select the optimal foundation models for your applications. Discover how to create and manage evaluation jobs, leverage automatic and human reviews, and analyze critical metrics like accuracy, robustness, and toxicity. This session provides practical steps to streamline your model selection process, ensuring high-quality, reliable AI deployments. Gain essential insights to enhance your generative AI applications through effective model evaluation techniques.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Amazon Bedrock offers a managed Retrieval Augmented Generation (RAG) capability, connecting foundation models to your data. This session explores the latest techniques to improve response accuracy and optimize costs in Amazon Bedrock Knowledge Bases. Use the advanced chunking, parsing, and hallucination reducing capabilities in Amazon Bedrock Knowledge Bases for improved accuracy. Learn how to build scalable RAG solutions, delivering contextual responses while only paying for what you use.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

The performance and accuracy of AI and ML systems directly depend on the quality, relevance, and integrity of the data, which are used to either train the model or accessed as part of Retrieval Augmented Generation (RAG) systems for generative AI assistants. Data engineering plays a crucial role in ensuring high-quality data is available, accessible, and usable for successful AI and ML implementations, allowing models to learn, reason, and act effectively. This session explores how AWS analytics provides complete engineering solutions for ingesting, storing, processing, and integrating data and making the data accessible for generative AI chat assistants and other AI and ML applications.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Organizations aim to use generative AI to process large documents and make them searchable for various tasks such as Q&A, summarization, and conversational assistants. Selecting the right embedding model is crucial in improving the accuracy of these tasks. In this session, learn how NetDocuments is utilizing binary Amazon Titan Embeddings Text, which can handle billions of documents at 40 times lower cost.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

In this session, gain the skills needed to deploy end-to-end generative AI applications using your most valuable data. While this session focuses on the Retrieval Augmented Generation (RAG) process, the concepts also apply to other methods of customizing generative AI applications. Discover best practice architectures using AWS database services like Amazon Aurora, Amazon OpenSearch Service, or Amazon MemoryDB along with data processing services like AWS Glue and streaming data services like Amazon Kinesis. Learn data lake, governance, and data quality concepts and how Amazon Bedrock Knowledge Bases, Amazon Bedrock Agents, and other features tie solution components together.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

As an increasing number of organizations leverage internal data for optimizing outputs in generative AI through Retrieval Augmented Generation (RAG), concerns about potential internal data leaks have grown. This talk delves into strategies for securely transmitting and storing the internal data used in RAG. Additionally, explore methods for identifying sensitive data and learn about best practices for subsequent measures to address these concerns.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing

The security and privacy of data during the training, fine-tuning, and inferencing phases of generative AI are paramount. This lightning talk introduces a reference architecture designed to use the security of AWS PrivateLink with generative AI applications. Explore the importance of protecting proprietary data in applications that leverage both AWS native LLMs and ISV-supplied external data stores. Learn about the secure movement and usage of data, particularly for RAG processes, across various data sources like Amazon S3, vector databases, and Snowflake. Learn how this reference architecture not only meets today’s security demands but also sets the stage for the future of secure generative AI development.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

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ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing

Enterprises face challenges controlling document access within generative AI applications. This lightning talk presents a solution using Retrieval Augmented Generation (RAG) and metadata filtering in Knowledge bases for Amazon Bedrock, enhancing data protection and security management. Learn how this approach secures role-specific information retrieval and improves knowledge management in enterprise chatbot systems, illustrated with a demo.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing

Discover techniques to enhance the security of your generative AI application through secure prompt engineering and effective Retrieval Augmented Generation (RAG) strategies. This lightning talk guides you through proactive approaches to mitigate bias, protect privacy, and prevent toxicity in your language model using Amazon Bedrock and other services. Learn how to develop guardrails that align your generative AI solution with responsible AI principles while prioritizing security and privacy considerations.

Learn more about AWS re:Inforce at https://go.aws/reinforce.

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

reInforce2024 #CloudSecurity #AWS #AmazonWebServices #CloudComputing

As AI continues to transform industries, the applications of generative AI and Large Language Models (LLMs) are becoming increasingly significant. This session delves into the utility of these models across various sectors. Gain an understanding of how to use LLMs, embeddings, vector datastores, and their indexing techniques to create search solutions for enhanced user experiences and improved outcomes on AWS using Amazon Bedrock, Aurora, and LangChain. By the end of this session, participants will be equipped with the knowledge to harness the power of LLMs and vector databases, paving the way for the development of innovative search solutions on AWS.

Learn more: https://go.aws/3x2mha0 Learn more about AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSEvents #GenerativeAI #AI #Cloud #AWSAIandDataConference