프롬프트
# 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.
어떻게 사용하나요?
베타AWS 환경 및 비용 관리 설정
AWS for Startups 시작하기 가이드에 따라 계정을 생성하고 액세스를 구성하세요. 초기 스타트업을 위한 빠른 클라우드 비용 최적화 가이드을(를) 검토하여 예산을 설정하고, 지출을 모니터링하고, 사용하지 않는 리소스를 차단하세요.
AWS CLI 설치
운영 체제에 맞는 AWS CLI을(를) 다운로드하여 설치합니다.
프롬프트 복사
‘프롬프트 복사’를 클릭하여 프롬프트를 클립보드에 복사합니다.
프롬프트 테스트
프롬프트를 AI 도구(예: Kiro CLI)에 붙여넣고 실행하여 결과를 생성합니다.
검토, 배포 및 모니터링
생성된 리소스와 예상 비용을 검토합니다. 우선 개발 환경에 배포합니다. 프로덕션으로 전환하기 전에 성과와 지출을 모니터링하세요.
이러한 프롬프트를 사용하면 고지 사항에 동의하는 것으로 간주됩니다.