In this episode, we learn how you can do function calling as part of your RAG application built on Elasticsearch with Ashish Tiwari, our Developer Evangelist in India!

I really enjoyed talking to Mayya Sharipova, an Elastic Engineer who been with the company for 7 years! She has worked on many parts of Lucene and Elasticsearch and in this episode we discuss how our HNSW implementation came to be, how KNN works and when you should use it vs Brute force and more talk about Speed, because it's so important to drive engagement with the apps our community and customers build on top of the Elasticsearch stack. Show Notes: ...

Join me as I speak with Chris Hegarty, our resident Lucene PMC Chair, Java and Search expert at Elastic. You can find Chris on X/Twitter at https://x.com/chegar999. In this episode we discuss many of the latest performance improvements Chris and team have brought to Lucene and Elasticsearch by leveraging newer capabilities in Chips and the JDK itself. You'll learn what SIMD, FFM, FMA and more TLA's mean and why they matter. All in all, I learned a lot in this episode and I hope you find...

In our inagural episode I speak with Serena Chou, our PM for Search at Elastic. We cover our Vector search capability, how we are being leveraged in the RAG workflow, our Roadmap and more. I hope you enjoy this episode and it leaves you excited for more. Upcoming episodes will be with our engineers and architects talking about how we built ES and Lucene, recent advancements in capabilities and performance and much much more.