Multimodal RAG System

Multimodal Retrieval-Augmented Generation (RAG) combines the power of foundational AI models with the flexibility of data retrieval to improve decision-making and content generation. This service enables organizations to build intelligent systems that can seamlessly access and process diverse types of data, such as text, images, voice, videos, sensor data, etc. to address business needs.

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Overview

What we do:

Develop AI-powered multimodal systems using AWS services to process and generate insights from text, images, voice, videos, and other data.
Integrate Amazon OpenSearch Service, Amazon Aurora, or Amazon DynamoDB for real-time retrieval of contextually relevant information to power more accurate and meaningful AI outputs.
Utilize Amazon Bedrock or Amazon SageMaker for fine-tuning foundational models and enabling scalable, serverless RAG pipelines.
Enable content generation through AI tools hosted on AWS, tailored to specific formats and channels (e.g., chatbots, reports, alerts).
Build intelligent interfaces using Amazon Lex, Amazon Transcribe, and Amazon Rekognition to support inputs across multiple modalities—voice, text, image, and video.
Optimize real-time performance with AWS Lambda and Amazon API Gateway to support dynamic and complex decision-making.
Ensure continuous improvement with data stored and versioned in Amazon S3, allowing evolving knowledge bases and models to remain current.

What you get:

A fully managed, AWS-native multimodal RAG system that enhances decision-making and automates content generation.
Seamless interaction capabilities supporting diverse input types, all processed through scalable AWS infrastructure.
Personalized, AI-driven customer engagement tools that boost operational efficiency.
Continuous updates using CI/CD pipelines on AWS CodePipeline and CodeBuild, keeping your RAG solution aligned with evolving data and business needs.
Deeper insights and predictive capabilities powered by integrated AWS analytics and AI services.

Highlights

Our Multimodal RAG system is built entirely on the AWS ecosystem, combining cloud scalability with advanced AI capabilities. By integrating multiple AWS services, we deliver enriched, secure, and real-time responses tailored to your business needs—driving smarter, data-driven actions across your organization.

Details

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Euristiq

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Pricing

Custom pricing options

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Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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