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AWS Solutions Library

Guidance for Advanced Multimodal Chatbot with Speech-to-Speech on AWS

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Overview

This Guidance demonstrates how to implement an advanced multimodal chatbot that transforms interactions with diverse data sources, including documents, audio, and video content. Extracting meaningful data insights from abundant data has become increasingly challenging, especially when company data includes audio and video files. The advanced multimodal chatbot helps you quickly access specific sections or topics, summarize content, or answer questions about your data. It seamlessly integrates with various file formats, providing a unified interface for knowledge extraction. You can then ask questions about your data, and the chatbot delivers precise answers, complete with source links and exact attribution for fast, efficient reference.

Benefits

Extract meaningful information from diverse data sources including audio and video files through a unified interface. Ask questions in natural language and receive precise answers with source attribution for faster decision-making.

Leverage serverless architecture with Amazon Bedrock, Lambda, and EventBridge to eliminate infrastructure management. Scale automatically with demand and get visibility into system performance and user interactions through built-in monitoring 

Pay only for resources you use with serverless components that scale automatically. Reduce data transfer costs with CloudFront edge caching while S3 Intelligent-Tiering minimizes storage expenses as your data volume grows.

How it works

These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.

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Deploy with confidence

Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs. 

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Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.