Optimizing Large Vector Embeddings with Advanced Storage Techniques

DataStax is known for its expertise in scalable data solutions, particularly for Apache Cassandra, a leading NoSQL database. Recently, the company has focused on enhancing platform support for AI-driven applications, including vector search capabilities.

Jonathan Ellis is the Co-founder of DataStax. He maintains a technical role at the company and has recently worked on developing their vector search product. Jonathan joins the show to talk about his passion for being in a technical role, where AI fits into the DataStax platform, developing vector search, and he also reflects on his gradual adoption of AI into his workflows, and where he thinks AI development is headed in the coming years.

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.