Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Building Real-Time Chatbots with Vector Search for Amazon MemoryDB

AWS Events via YouTube

Overview

Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn how to build a real-time chatbot in this technical session from AWS OnAir NY Summit 2024 that demonstrates the integration of Knowledge Bases with Amazon Bedrock and Amazon MemoryDB. Discover the implementation of vector search capabilities in Amazon MemoryDB, offering industry-leading vector search performance with optimal recall rates and minimal latency for generative AI applications. Explore the practical application of Anthropic Claude 3 Sonnet combined with MemoryDB's vector search functionality to enhance chatbot performance while optimizing LLM-related costs. Gain insights into creating virtual agents capable of instant response times, automated issue resolution, and personalized customer interactions through seamless integration with internal systems. The 19-minute presentation provides a comprehensive look at leveraging durable semantic cache and advanced vector search technologies to build efficient, cost-effective AI-powered customer service solutions on AWS.

Syllabus

Creating real-time chatbots with vector search for Amazon MemoryDB | AWS OnAir NY Summit 2024

Taught by

AWS Events

Reviews

Start your review of Building Real-Time Chatbots with Vector Search for Amazon MemoryDB

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.