![]() The script chunks the data so that your response with the service will be more accurate. Ingesting your data into Azure Cognitive Searchįor documents and datasets with long text, you should use the available data preparation script to ingest the data into cognitive search. ![]() See the quickstart article for more information. We recommend using Azure OpenAI Studio to create your index from a blob storage or local files. Data source optionsĪzure OpenAI on your data uses an Azure Cognitive Search index to determine what data to retrieve based on user inputs and provided conversation history. To get started, you need to already have been approved for Azure OpenAI access and have an Azure OpenAI Service resource with either the gpt-35-turbo or the gpt-4 models deployed. To get started, connect your data source using Azure OpenAI Studio and start asking questions and chatting on your data. See the Data, privacy, and security for Azure OpenAI Service article for more information. Once the data has been retrieved and the prompt has been submitted to the model, the model uses this information to provide a completion. Although retrieved data is being appended to the prompt, the resulting input is still processed by the model like any other prompt. This data is then augmented and resubmitted as a prompt to the OpenAI model, with retrieved information being appended to the original prompt. Azure OpenAI on your data, together with Azure Cognitive Search, determines what data to retrieve from the designated data source based on the user input and provided conversation history. One of the key features of Azure OpenAI on your data is its ability to retrieve and utilize data in a way that enhances the model's output. You can access Azure OpenAI on your data using a REST API or the web-based interface in the Azure OpenAI Studio to create a solution that connects to your data to enable an enhanced chat experience. What is Azure OpenAI on your dataĪzure OpenAI on your data works with OpenAI's powerful GPT-35-Turbo and GPT-4 language models, enabling them to provide responses based on your data. This grounding data also helps the model avoid generating responses based on outdated or incorrect information. ![]() One of the key benefits of Azure OpenAI on your data is its ability to tailor the content of conversational AI.īecause the model has access to, and can reference specific sources to support its responses, answers are not only based on its pretrained knowledge but also on the latest information available in the designated data source. By doing so, you can unlock valuable insights that can help you make better business decisions, identify trends and patterns, and optimize your operations. Running models on your data enables you to chat on top of, and analyze your data with greater accuracy and speed. Azure OpenAI on your data enables you to run supported chat models such as GPT-35-Turbo and GPT-4 on your data without needing to train or fine-tune models.
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