The article discusses the implementation of semantic search and vector support in Dynamics 365 Business Central. Currently, Business Central uses full-text search, which may not always yield accurate results. Semantic search, on the other hand, interprets the meaning of words and phrases, returning content that matches the meaning of a query. The article explains how vector representations of data and embeddings are used to implement semantic search. It also mentions the recent announcement of native vector support in Azure SQL, which allows for efficient storage and search of vectors. The author suggests that now is the right time to implement semantic search and vector support in Business Central, leveraging the native features of Azure SQL.
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