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