RAG Chatbot With Claude

AWS Claude RAG Chatbot Architecture Design Request

Project Overview

I need a comprehensive design for a web-based chatbot application with the following key components:

• Claude 3 Sonnet on Amazon Bedrock as the LLM
• RAG capabilities for PDF documents stored in S3
• React frontend with real-time chat functionality

Detailed Requirements

1. Core Functionality

• User Interface: Web-based chat interface built with React
• AI Backend: Claude 3 Sonnet model via Amazon Bedrock API
• RAG System:
  • PDF document search and retrieval from S3
  • Document upload functionality for expanding knowledge base
  • Vector search across 1000+ documents
• Persistence:
  • Chat history storage and retrieval
  • User authentication and session management

2. Performance Requirements

• Support for 100 concurrent users
• Response times under 2 seconds for typical queries
• Ability to process and index documents up to 100MB each

3. Cost Optimization Targets

• Monthly operational cost under $200 for moderate usage
• Strategic use of spot instances where appropriate
• Caching implementation to minimize Bedrock API calls
• Pay-per-use services prioritized

4. Technical Architecture Preferences

• Serverless backend architecture (AWS Lambda)
• Vector database for embeddings (OpenSearch or equivalent)
• PDF processing pipeline for text extraction and embedding
• WebSocket implementation for real-time chat experience
• API Gateway for REST endpoint management

5. Security & Compliance Requirements

• End-to-end encryption for documents (at rest and in transit)
• IAM roles configured with least privilege principle
• Rate limiting implementation to prevent system abuse
• Comprehensive audit logging for all system interactions

Deliverables Requested

1. Complete AWS solution architecture diagram
2. Infrastructure as Code (Terraform preferred)
3. Detailed deployment guide with step-by-step instructions
4. Cost estimation breakdown by AWS service
5. Security implementation details
6. Readme with full documentation

Please provide a solution that adheres to AWS Well-Architected Framework principles, with particular attention to reliability, performance efficiency, and cost optimization. Provide your complete solution architecture without any preamble, starting with the high-level architecture diagram description.