Enterprise RAG Solution on AWS



What We Offer:

Seven Peaks provides expertise to handle the complete deployment of an enterprise RAG platform with a backend application designed to query your data, and a frontend application for user interaction - all hosted securely on AWS infrastructure.  


1. Who is this offering for?

This service is ideal for enterprises seeking to:

  • Enhance data-driven decision making with AI-powered insights.
  • Automate content generation tasks like reports, summaries, or marketing copywriting.
  • Improve customer service with AI-powered chatbots and virtual assistants.
  • Personalize user experiences with contextually relevant content generation.
  • Conduct in-depth research and analysis from diverse information sources.

We cater to various enterprise sizes and industries, with a focus on organizations that:

  • Possess large amounts of data across various formats (text, documents, code, etc.)
  • Require solutions to automate content generation tasks and enhance information retrieval.
  • Prioritize secure and scalable cloud-based solutions.
2. Our approach

We will provide a comprehensive understanding of the deployed solutions, including:


    • Detailed Architecture Diagrams: Illustrating the flow of data and interactions between components.
    • In-depth Documentation: Explaining the functionalities of the LLM, backend application, and frontend application.
    • Customization and Refinement: We build a solution that scales with your future needs and integrates seamlessly with your existing infrastructure.
3. AWS Services
AWS Services: We leverage the power of specific AWS services to tailor solutions for our clients, including:
    • Amazon SageMaker: Training and deploying large language models (LLMs) as the core of your RAG system.
    • Amazon Kendra: The knowledge base that integrates with your LLM, allowing seamless information retrieval and feed.  
    • Amazon S3: Securely store your LLM's training data and retrieved information for reliable access and scalability.
    • Amazon EC2 or Amazon ECS: Optimization of backend application's performance. Amazon EC2 offers fine-tuned control, while Amazon ECS simplifies container management and scaling.
    • Amazon CloudFront or Amazon API Gateway: Connect your user-centric frontend to your RAG system.

4. Timeline

Our team will provide a 2-week discovery, followed by an implementation phase which will last 3 to 4 months.

Partnering with AWS

As an AWS Select Partner, we demonstrate our broad capabilities to help our customers build, run, and manage applications across multiple clouds, on-premises, and at the edge. This collaboration enhances our solutions which allows us to deliver services to our clients at the highest level, in areas such as:

  • Cloud Migration
  • Cloud Architecture
  • App Modernization
  • Cloud Native Solutions
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