Osi Ogbuji leads Retrieval Augmented Generation (RAG) workshop for local engineering group

Slide from RAG workshop—Database Retrieval Code Example 1

Yesterday morning Osi Ogbuji led a talk/workshop on Retrieval Augmented Generation (RAG), courtesy the AI/ML Engineering subgroup of Rocky Mountain AI Interest Group (RMAIIG).

RAG is a variety of techniques for arming Language AI with specific knowledge in order to support specialized tasks, while reducing problems such as hallucination.

Osi went over the many variations and considerations for RAG which can make the difference between project success and failure. Code examples were based on OgbujiPT, Oori’s open-source project which includes helper constructs for RAG.

Presentation video
Slide deck
Notebook