Solution Accelerator
Enterprise Knowledge Assistant
Role-aware retrieval augmented generation (RAG) that enables employees to securely search enterprise knowledge, policies, procedures and documentation using natural language.
Business Challenge
Information Fragmentation
Critical business knowledge is distributed across documents, SharePoint sites, wikis and internal systems.
Slow Information Retrieval
Employees spend significant time searching for policies, procedures and business knowledge.
Inconsistent Answers
Teams often rely on tribal knowledge resulting in inconsistent decisions and responses.
Business Value
Accelerate knowledge discovery
Reduce employee search time
Improve answer consistency
Increase productivity and self-service
RAG Workflow
Demo Video
Reference Architecture
Technology Stack
AWS Bedrock
OpenSearch
Amazon S3
FastAPI
Next.js
PostgreSQL
Embedding Models
Docker
Python
Production Considerations
Security & Governance
- Role-aware document access
- Source attribution and citations
- Data classification controls
- Audit logging and monitoring
Scalability
- Large-scale document indexing
- Vector search optimization
- High-volume concurrent users
- Multi-source content ingestion
Interested in EnterpriseKnowledge Assistants?
Explore how retrieval augmented generation can help employees quickly access trusted business knowledge while maintaining security and governance.
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