Democratizing institutional knowledge: Building an AI-powered knowledge management system with AWS

A walkthrough for deploying an AWS-based knowledge management accelerator that captures institutional (tribal) knowledge and delivers it through a voice-first AI avatar. The architecture uses Amazon Bedrock Knowledge Bases for RAG, an OpenSearch Serverless vector store, DynamoDB response caching, Cognito for auth, and Lambda for orchestration, deployable via a CloudFormation template in hours. It covers cost considerations (a standing OpenSearch Serverless baseline plus caching-driven inference savings of 50-70% cache hit rates), scalability estimates (50 to 5,000+ concurrent users depending on quota increases), and maintenance practices like S3-triggered re-ingestion and grounding via retrieved documents.

Source: https://aws.amazon.com/blogs/machine-learning/democratizing-institutional-knowledge-building-an-ai-powered-knowledge-management-system-with-aws. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.