The speaker highlights the importance of providing high-quality reference implementations in open source projects like Cassandra to ensure widespread adoption. They emphasize the significance of making it easier for other projects to adopt similar implementations. Additionally, the speaker discusses potential performance issues in projects, questioning whether they arise from how vector indices are built or the tools used for vector similarity comparison, or a combination of both.
DataStax is a generative AI data company that provides tools and services to build AI and other data-intensive applications.
Ed Anuff is the Chief Product Officer at DataStax. He joins the show to talk about making Apache Cassandra accessible, adding vector support at DataStax, envisioning the future application stack for AI, and more.
Full Disclosure: This episode is sponsored by DataStax
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .
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