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We generate a semantic index for users with a paid microsoft 365 copilot license Key topics include leveraging ai and the semantic index to improve search efficiency, as well as the role of copilot for enhancing user experience Here are the details of how each feature works.
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The semantic index is a new feature of microsoft 365 search that uses the microsoft graph to better interact with your personal and organizational data It takes all your organization’s content across sharepoint, onedrive, teams, exchange, and more. It creates a new index that enables the future of search and copilot experiences.
Learn how to get indexed in microsoft copilot and start appearing in its search results
This guide defines the semantic index and answers faqs. We tackle the challenge of sequential discrete id by introducing a semantic indexer capable of generating neural sequential discrete representations with progressive training and contrastive learning. Semantic index is a feature that maps the relationships between various ideas using the data available in the microsoft graph It helps copilot understand the intent of the content you're working with, even if it's not explicitly stated.
I'd like to build an application that uses semantic search on user's sharepoint to retrieve relevant information (and then processes this data further) I'd prefer to use the semantic index created for copilot instead of duplicating efforts and creating another index e.g Semantic index is the backbone of how microsoft 365 copilot grounds its answers in your enterprise data
