RAG and Search

Generative AI models are trained on large amounts of data. But, they might not be trained on the data you want to show a user. When a question comes in, you want the LLM to get context from your data source thereby augmenting the answer. That’s RAG – retrieval augmented generation. See the resources below for details on how to create a RAG application. 👇

Resources
► RAG and Search lesson on GitHub: https://aka.ms/GenAICollectionSearch 

► GenAI for Beginners resource collection on MS Learn: https://aka.ms/GenAI-BeginnersCollection

► 10 Days of GenAI – Gift Guide edition video series here: https://aka.ms/GenAI-GiftGuide