Lilly Tech Systems
Enterprise RAG Architecture
Design and implement enterprise-grade Retrieval-Augmented Generation systems with multi-tenant support, access control, evaluation, and production best practices.
Your Learning Path
Follow these lessons in order, or jump to any topic that interests you.
1. Introduction
Why RAG matters for enterprise AI and how it differs from basic RAG implementations.
2. Data Ingestion
Build robust ingestion pipelines with document processing, chunking, and embedding generation.
3. Multi-Tenant RAG
Design multi-tenant systems with data isolation, per-tenant configuration, and shared infrastructure.
4. Access Control
Implement document-level access control ensuring users only retrieve authorized documents.
5. Evaluation & Quality
Build evaluation frameworks to measure retrieval quality, answer accuracy, and performance.
6. Best Practices
Production best practices for scaling, caching, prompt engineering, and operational excellence.