Azure OpenAI and Cognitive Search

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure Cognitive Search for data indexing and retrieval.

In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

RAG Architecture

Features

Chat and Q&A interfaces
Explores various options to help users evaluate the trustworthiness of responses with citations, tracking of source content, etc.
Shows possible approaches for data preparation, prompt construction, and orchestration of interaction between model (ChatGPT) and retriever (Cognitive Search)
Settings directly in the UX to tweak the behavior and experiment with options

Chat screen