Amazon Web Services

This video explores how to build a generative AI virtual assistant using Amazon Bedrock, Langchain, and Amazon ElastiCache. The presenters, Sashi Varanasi and Lakshmi Peri, discuss two key application patterns: chat history and messaging broker. They demonstrate how ElastiCache for Redis simplifies implementation by leveraging built-in Redis data structures, offering extreme low latency and versatility. The session covers the basics of generative AI, foundation models, and Amazon Bedrock, highlighting how ElastiCache can serve as an effective short-term memory solution for chatbots. A live demo showcases the integration of these technologies to create a context-aware, scalable virtual assistant.

product-information
skills-and-how-to
generative-ai
ai-ml
databases
Show 5 more

Up Next

VideoThumbnail
30:23

T3-2 Amazon SageMaker Canvasで始めるノーコード機械学習 (Level 200)

Jun 27, 2025
VideoThumbnail
31:49

T2-3 AWS を使った生成 AI アプリケーション開発 (Level 300)

Jun 27, 2025
VideoThumbnail
26:05

T4-4: AWS 認定 受験準備の進め方 AWS Certified Solutions Architect – Associate 編 後半

Jun 26, 2025
VideoThumbnail
32:15

T3-1: はじめてのコンテナワークロード - AWS でのコンテナ活用の第一歩

Jun 26, 2025
VideoThumbnail
29:37

BOS-09: はじめてのサーバーレス - AWS Lambda でサーバーレスアプリケーション開発 (Level 200)

Jun 26, 2025