The latest GraphDB enables users to create hybrid similarity searches using pre-built text-based similarity vectors for the predication-based similarity index. The index combines the power of graph topology with the text similarity. The index accuracy can be controlled by users, specifying the number of iterations required to refine the embeddings.
Another new feature, offered by the new version 8.9., is enabling users to boost the term weights when searching in text-based similarity indexes. It also simplifies the processes of termination of running queries or updates from the SPARQL editor in the Workbench.
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