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    Multimodal RAG Architectures

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    Transform how you interact with data using iENGINEERING's Multimodal Retrieval-Augmented Generation (RAG). Fully deployed on AWS, our solution fuses text, images, videos, and structured data into accurate, real-time insights. Powered by advanced AI and cloud technology, it enables natural, conversational interactions unlocking efficiency and intelligence for your business.

    Overview

    Imagine an AI that doesn’t just read it sees, hears, and understands. iENGINEERING’s Multimodal Retrieval-Augmented Generation (RAG) integrates text, images, videos, and structured data to deliver smarter, context-aware responses. Fully hosted on AWS, it’s more than search it’s a game-changer for turning data into decisions.

    Powered by advanced retrieval and generation, our Multimodal RAG seamlessly processes multimedia, enabling deep analytics, virtual assistants, and real-time insights. It’s the central hub for your data ecosystem, driving efficiency, precision, and innovation across industries.

    What We Do

    iENGINEERING’s Multimodal RAG simplifies and enhances data processing by offering:

    • Unified Data Integration – Combines text, images, videos, and tables for a complete, 360-degree analysis.
    • Smarter Insights – Boosts accuracy by leveraging diverse multimodal inputs.
    • Contextual Precision – Understands relationships across data formats for richer, more relevant responses.
    • Industry Versatility – Adapts to healthcare, finance, manufacturing, legal, and more with scalable deployment.

    What You Get

    • Enhanced Accuracy – Delivers more precise responses by integrating multimodal data sources.
    • Faster Query Handling – Speeds up response times with automated, real-time processing.
    • Higher User Engagement – Boosts interaction with intuitive, personalized experiences.
    • Lower Costs – Reduces operational expenses through automation and optimized efficiency.

    Core Components

    iENGINEERING’s Multimodal RAG is built for speed, scale, and impact:

    • Vector Databases – Lightning-fast search (Amazon OpenSearch Service) indexing text, images, and videos via vector embeddings.
    • Large Language Models (LLMs) – Intelligent reasoning (Amazon Bedrock) delivering human-like, context-rich responses.
    • Multimodal Encoders – AWS SageMaker-powered systems that unify diverse data into an AI-ready format.
    • Smart Retrieval Mechanisms – AWS Lambda-driven filters fetching the most relevant insights instantly.

    Our Expertise

    We bring years of experience in AI, data analytics, and cloud solutions to the table. We’ve solved real-world data challenges—from annotating complex datasets to deploying AI on scalable platforms. Now, with Multimodal RAG, we’re pushing the boundaries of what’s possible, crafting tailored, practical solutions that turn your data into a competitive edge.

    Ready to see your data in a new light? Contact iENGINEERING today!

    Highlights

    • Multimodal RAG enables natural, human-like interactions with your data.
    • Unlocks deep data insights from text, images, videos, and more in one seamless system.
    • Scales effortlessly with Multimodal RAG to meet evolving business needs.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    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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