Introduction to Simple RAG Consumption with Azure OpenAI and AI Search recipe
Introduction to Simple RAG Consumption with
Azure OpenAI and AI Search recipe
The Simple Retrieval Augmented Generation (RAG) Consumption with Azure OpenAI and AI
Search recipe is based on REST and SOAP APIs.
The process submits a query that is received from the user, converts it into a vector, and
uses it to search for similar vectors in a database. The top K matches are retrieved, filtered
by a cutoff score, and used to form a context. This context including the original query is
passed to a Large Language Model (LLM) to generate and return a comprehensive response.