Semantic search or search based on the meaning analyzes the context and intent behind the query term to provide relevant results. Using Vector embeddings, the data structure behind semantic search, you can supercharge your search to include text, images, and other types of data. With vector databases you can store and index vector embeddings and provide similarity search over these embeddings.
Entity Framework Core is great for performing crud operations, but did you know that you can go beyond basic relational queries with Entity Framework Core? Do you need to store and query non-structured data in JSON documents? Do you have hierarchical data that you wish to query with Entity Framework Core? Are you required to keep historical information about data that has been modified or maybe even deleted? If you answered Yes to any of the above questions, this is the talk you do not want to miss.
Semantic search or search based on the meaning analyzes the context and intent behind the query term to provide relevant results. Using Vector embeddings, the data structure behind semantic search, you can supercharge your search to include text, images, and other types of data. With vector databases you can store and index vector embeddings and provide similarity search over these embeddings.
Entity Framework Core is great for performing crud operations, but did you know that you can go beyond basic relational queries with Entity Framework Core? Do you need to store spatial data or find the nearest points of interest to a given location?
Entity Framework Core is great for performing crud operations, but did you know that you can go beyond basic relational queries with Entity Framework Core? Do you need to store and query non-structured data in JSON documents? Do you have hierarchical data that you wish to query with Entity Framework Core? Are you required to keep historical information about data that has been modified or maybe even deleted? If you answered Yes to any of the above questions, this is the talk you do not want to miss.
Entity Framework Core is great for performing crud operations, but did you know that you can go beyond basic relational queries with Entity Framework Core? Do you need to store and query non-structured data in JSON documents? Do you have hierarchical data that you wish to query with Entity Framework Core? Are you required to keep historical information about data that has been modified or maybe even deleted?
If you answered Yes to any of the above questions, this is the talk you do not want to miss.
Entity Framework Core is great for performing crud operations, but did you know that you can go beyond basic relational queries with Entity Framework Core? Do you need to store and query non-structured data in JSON documents? Do you have hierarchical data that you wish to query with Entity Framework Core? Are you required to keep historical information about data that has been modified or maybe even deleted? If you answered Yes to any of the above questions, this is the talk you do not want to miss.
Microsoft .NET developers of Oracle Database will learn about recent Oracle Data Provider for .NET (ODP.NET) features, such as Entity framework Core 6, JSON, bulk copy, and user-defined types support. We will also preview upcoming ODP.NET features, such as asynchronous support, transparent application continuity, queuing, .NET 7, and Entity Framework Core 7.