GBTE RAG Search

Retrieval augmented generation (RAG) pairs a search step with an LLM's generation step. The model answers based mainly on context retrieved from a specific, private data source, not what it memorized in training.

GBTE's content lives inside video courses and podcasts general models were never trained on. RAG grounds every answer in the unseen data, with a citation to the exact moment it was said.