azure-search-openai-demo and entaoai
Both tools provide a sample application for implementing a Retrieval-Augmented Generation (RAG) pattern to chat with custom data using Azure OpenAI, making them direct competitors as they address the same core use case.
About azure-search-openai-demo
Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
This solution helps organizations create a custom chatbot that can answer questions using their own internal documents, policies, and data. You input your company's documents, and it produces a ChatGPT-like interface where employees can ask questions and get direct answers with citations. This is ideal for knowledge managers, HR professionals, or anyone responsible for making internal company information easily accessible to staff.
About entaoai
akshata29/entaoai
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
This tool helps you quickly get answers and insights from your organization's internal documents, reports, and other proprietary data. You upload your files, and then you can ask questions or chat with the system as if it were an expert on your data, receiving direct answers. It's designed for business users, researchers, or anyone who needs to extract information from large volumes of enterprise data without sifting through it manually.
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