Data Exchange Podcast (Episode 239): Ajay Kulkarni and Mike Freedman of Timescale, on vector search

Episode Notes: https://thedataexchange.media/postgre...
Ajay Kulkarni and Mike Freedman are the co-founders of Timescale, a startup that provides an enhanced version of PostgreSQL optimized for time-series analytics, AI applications, and scalable relational workloads.
*Sections*
Introducing pgvectorscale: A New Vector Search Capability for Postgres - 00:01:28
The Evolution of Postgres and the Need for pgvectorscale - 00:03:26
When and How to Use pgvectorscale - 00:06:26
Exploring Hybrid Search and Data Integration in Postgres - 00:08:10
Scaling Vector Search: pgvectorscale's Capabilities and Use Cases - 00:09:58
Addressing Scalability Concerns: Timescale Cloud and Horizontal Expansion - 00:11:27
Real-Time Index Updates and Incremental Indexing in pgvectorscale - 00:13:45
Supported Vector Indices and Statistical Binary Quantization - 00:15:40
Leveraging DBMS Features: Governance, Access Control, and Beyond - 00:18:34
Ease of Use and Integration: Postgres vs. Specialized Vector Search Systems - 00:22:08
Streaming Post-Filtering: Addressing Scarce Data Challenges - 00:24:51
Beyond Vector Search: Exploring New File Formats (Lance and Nimble) - 00:28:15
Postgres for Everything: Evidence and Examples - 00:32:40
Embedded Databases: The Rise of DuckDB, SQLite, and Their Relationship to Postgres - 00:39:00
Workloads Where Postgres Might Not Be the Best Fit - 00:43:49
Looking Ahead: Next Innovations in Generative AI and Postgres - 00:51:40
Postgres and Multimodal Data: An "Everything Modal" Database - 00:55:53
Key Postgres Events and Resources for the Community - 00:57:33