Full course coming soon

Building Retrieval-Augmented Generation Systems for Enterprise

7 chapters · 32 lessons

1. 1. RAG Architecture and System Design

   4 lessons

   Understand the components, data flow, and design patterns that differentiate enterprise RAG from consumer chatbots.

2. 2. Document Indexing and Embedding Strategies

   5 lessons

   Build robust indexing pipelines that handle diverse document types, metadata, and update frequencies.

3. 3. Vector Search and Retrieval Engineering

   5 lessons

   Implement and optimize retrieval systems that surface the most relevant context for each query.

4. 4. Generation with Citations and Traceability

   4 lessons

   Configure foundation models to produce outputs with verifiable references and source attribution.

5. 5. Governance, Access Control, and Compliance

   5 lessons

   Implement security and policy layers that enforce data permissions, audit trails, and regulatory requirements.

6. 6. Workflow Integration and Application Interfaces

   4 lessons

   Connect RAG systems to business tools, approval processes, and team collaboration platforms.

7. 7. Monitoring, Evaluation, and Continuous Improvement

   5 lessons

   Measure system performance, user satisfaction, and output quality to iterate on production RAG deployments.