Leverage the Microsoft API to easily build AI applications without the complexity of vector indexes or separate query environments. By utilizing Microsoft’s semantic index, you streamline the process of developing Retrieval-Augmented Generation (RAG) connections, allowing you to focus on delivering relevant content effortlessly. The integration with Microsoft Graph’s SharePoint heritage ensures that your applications yield accurate results and minimize errors, tailoring content for specific teams, such as legal or sales.
The retrieval API utilizes standard HTTP calls, embedding queries in the JSON body of a POST request. It supports up to 1,500 characters in the query string, incorporates SharePoint data sources, and utilizes Kusto Query Language (KQL) for precise filtering. Filters enable you to select documents based on specific metadata, aiding in the retrieval of content linked to particular authors or projects, ensuring enhanced search capabilities and a user-friendly experience for application developers.
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