WHAT WE DO:

The Multimodal RAG solution tackles the challenge of integrating multiple data types by offering:

• Unified Data Processing: Combine images, text, and tables into a single view for comprehensive analysis.

• Enhanced Data Utilization: Improve response accuracy by leveraging data from various modalities.

• Cross-Modal Understanding: Boost accuracy by considering context from different data types.

• Cross-Domain adaptability: Deploy across multiple industries like healthcare, finance, legal, manufacturing, and energy.

This platform serves as a building block (for any Gen AI use cases that require “ talk to your data” capabilities. It can integrate with various interfaces and third party systems, enabling data insights, virtual agents, and content creation. The Multimodal RAG System acts as the core for enhanced access to corporate data, providing deep insights and actionable advice.

WHAT YOU GET:

• ENHANCED ACCURACY: 70% improvement in response accuracy by integrating text, images, and other data types

• FASTER QUERY HANDLING: 40% reduction in response time through automated, real-time data processing

• HIGHER USER ENGAGEMENT: 65% boost in engagement due to more relevant and personalized responses

• LOWER COSTS: 30% reduction in operational costs for customer queries due to automation and accuracy

CATEGORIES:

SoftServe Multimodal RAG System enhances functionality and scalability by leveraging NVIDIA AI Blueprints and AWS services.

• NVIDIA NeMo microservices handle complex tasks like embedding and reranking for fast data processing and response generation.

• Amazon Textract extracts and processes text and tables from unstructured data.

• Amazon OpenSearch Service stores and retrieves embeddings for efficient data access.

• AWS S3 provides scalable and secure storage for unstructured data.

The solution is supported by AWS’s robust CI/CD and monitoring tools, like CloudFormation, CodeCommit, and CloudWatch, ensuring continuous optimization and management integration with agents facilitates the coordination of tasks and retrieval of data from various sources, enabling a seamless user experience.

By fully utilizing AWS’s cloud infrastructure and services, SoftServe Multimodal RAG System delivers a scalable, efficient, and highly effective solution that enhances productivity and operational excellence in industrial environments.

Target Industry:

• HighTech

• ISV

• Retail

• Fintech

• Manufacturing

FEATURES / BENEFITS:

Automates data extraction and querying from diverse formats, including text, tables, and images, reducing manual effort and accelerating access to critical information.

Scalable and flexible architecture supports data volumes across industries, making it scalable for various business applications.

User-friendly interface ensures easy adoption across organizations, delivering a seamless user experience facilitating easy adoption and use across organizations.

By combining NVIDIA’s AI capabilities and AWS’s cloud services, SoftServe Multimodal RAG System optimizes operations and offers a competitive edge. Its robust design and integration within the NVIDIA and AWS ecosystems make it an invaluable tool for industrial applications.

Technology used

• NVIDIA Llama-3.1 NIM

• NVIDIA Riva

• NVIDIA NeMo Retriever embedding microservice

• NVIDIA NeMo Retriever ranking microservice

• Amazon OpenSearch

• Amazon Textract

• Amazon S3

Use Cases:

• Technical document analysis

• Medical records integrations

• Financial report processing

• Legal documents review

• Manufacturing document analysis