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VetRec with David de Matheu - Weaviate Podcast #92!
Weaviate Podcast
Using Knowledge Graphs as Filters in Data Analysis
Utilizing embeddings and knowledge graphs can help in refining data analysis by cross-referencing information. By corroborating data from embeddings with a knowledge graph, researchers can verify the accuracy of their results. Knowledge graphs act as a negative filter, allowing researchers to identify and discard false positives or errors in their analysis. This approach, suggested by Professor Laura Dietz, involves retrieving data with embeddings, conducting entity linking within the data, and integrating it into a knowledge graph, which ultimately enhances the accuracy and reliability of the analysis.
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