Episode description

00:00 Intro

00:42 Louis's background

05:39 From Facebook to Rockset

07:41 Embeddings prior to deep learning / LLM era

12:35 What's Rockset as a product

15:27 Use cases

18:04 RocksDB as part of Rockset

20:33 AI capabilities: ANN index, hybrid search

25:11 Types of hybrid search

28:05 Can one learn the alpha?

30:03 Louis's prediction of the future of vector search

33:55 RAG and other AI capabilities

41:46 Call out to the Vector Search community

46:16 Vector Databases vs Databases

49:16 Question of WHY