AWS Architecture for LLM, GenAI, RAG, and Graph
AWS Here's a concise breakdown of what’s in the AWS contact center RAG architecture and modern AWS innovations/tools you can consider adding/enhancing for LLM, GenAI, RAG, and Graph-based use cases: ✅ Current Architecture Summary Core Interaction : Amazon Connect + Lex : Voice/chat → Lex bot AWS Lambda : Fulfillment logic → interacts with LLMs & KB Amazon Bedrock : Claude & Cohere embedding Amazon OpenSearch Serverless : RAG KB indexing Amazon S3 : Document storage Amazon SageMaker : LLM testing CloudWatch + Athena + QuickSight : Analytics, logs, and dashboards 🚀 Modern AWS Additions to Enhance This Architecture 1. Amazon Knowledge Bases for Amazon Bedrock (NEW) Built-in RAG : No manual embedding/indexing ...