Today on the podcast, Gabi Ferrara and Jon Foust share a great interview with Laura Ham, Community Solution Engineer at SeMI Technologies. At SeMI Technologies, Laura works with their project Weaviate, an open-source knowledge graph program that allows users to do a contextualized search based on inputted data. However, unlike traditional databases, Weaviate attaches meanings and links within the data.
Laura details what knowledge graphs are and how they can be useful for both small and large projects. Explaining that ontology is the meaning of words, she tells us how Weaviate is able to use this concept to make more specific data entries and links, allowing users to perform better and more informative searches. Weaviate is able to do this with the help of Kubernetes. Later, Laura tells Gabi and Jon the ways Weaviate helps developers and users with thorough documentation, assistance with troubleshooting, and support from solution engineers.
Laura is the Community Solution Engineer at SeMI Technologies, where she takes care of building and supporting a community around their open source software product, Weaviate. She also takes care of the developer and user experience within the business, which means she writes documentation to support both developers and users, as well as researches and evaluates new software implementations on user experience. She has a user-centered approach in the work that she develops and designs. Laura is a full-time graduate student in Human Computer Interaction and Design with a special focus on Innovation and Entrepreneurship at EIT Digital Master School. Here, she learns about how to develop and design technology from a user perspective, and how to apply this with an entrepreneurial mindset.
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Gabi will be at Full Stack Europe.