High-Performance Java, Or How JVector Happened

An airhacks.fm conversation with Jonathan Ellis (@spyced) about:
Jonathan's first computer experiences with IBM PC 8086 and Thinkpad
laptop with Red Hat Linux, becoming a key contributor to Apache
Cassandra and founding datastax, starting DataStax to provide
commercial support for Cassandra, early experiences with Java, C++,
and python, discussion about the evolution of Java and its
ecosystem, the importance of vector databases for semantic search
and retrieval augmented generation, the development of JVector for
high-performance vector search in Java, the potential of
integrating JVector with LangChain for Java / langchain4j and
quarkus for serverless deployment, the advantages of Java's
productivity and performance for building concurrent data
structures, the shift from locally installed software to
cloud-based services, the challenges of being a manager and the
benefits of taking a sabbatical to focus on creative pursuits, the
importance of separating storage and compute in cloud databases,
Cassandra's write-optimized architecture and improvements in read
performance, DataStax's investment in Apache Pulsar for stream
processing, the llama2java project for high-performance language
models in Java

Jonathan Ellis on twitter: @spyced