Demo - Azure Cognitive Search + Azure OpenAI service

Introduction

Size models are one of the hot topics right now, and chat GPT, in particular, is getting a lot of attention from customers. What's most interesting about all those Foundation models, including chat GPT, is that they are amazing by themselves but even better when you combine them with your own data. Most customers will do this through a technique called prompt engineering or prompt stuffing. This article demonstrates how Azure OpenAI service and Azure Cognitive Search can vastly improve knowledge mining over your organizational data using some simple integrations and prompt engineering.

Contoso Electronics, a fictitious company, wants to enable its employees to ask questions about company policies, benefits, job descriptions, and roles. By indexing information into Azure Cognitive Search, such as employee handbooks and benefits plans, employees can interact in a chat GPT-like experience to get answers to their queries. The system constructs search queries, retrieves information, and generates responses, including citations to validate the accuracy of the information. Context from previous conversations can be passed to ensure accurate responses, showcasing the power of combining Azure OpenAI service and Azure Cognitive Search for enhanced data exploration.

Keywords

Size models, chat GPT, prompt engineering, Azure OpenAI service, Azure Cognitive Search, Contoso Electronics, knowledge mining, organizational data, integrations, prompt engineering, chat GPT-like experience, employee handbooks, benefits plans, citations, accuracy, contextual responses.

FAQ

1. What is prompt engineering, and how does it enhance the chat GPT experience? Prompt engineering involves altering prompts to solve different challenges or provide specific functionalities. In the context of chat GPT, prompt engineering can help pass context from previous conversations, customize responses, and improve the accuracy of answers.

2. How can Azure Cognitive Search and Azure OpenAI service be combined for knowledge mining? By indexing organizational data into Azure Cognitive Search, the system can interact with the Azure OpenAI service to generate responses to user queries, providing a chat GPT-like experience. This combination enhances data exploration and enables users to extract information effectively.

3. Why are integrations like Azure OpenAI service and Azure Cognitive Search beneficial for enterprises? Integrations like Azure OpenAI service and Azure Cognitive Search allow enterprises to leverage AI capabilities for enhanced data processing and retrieval. By combining these services, organizations can improve knowledge mining, provide accurate responses, and offer a more interactive experience for users seeking information within their data repositories.