Ajay Kulkarni and Mike Freedman, co-founders of Timescale, discuss how Postgres has evolved into a versatile platform for AI and vector databases. They explore the innovations in Postgres-like database technology, the significance of streaming post filtering, and the evolution of data formats and database usage, including embedding pipelines for AI applications and handling multimodal data.
Postgres extends its capabilities with vector search for advanced workloads.
PG Vector Scale enhances Postgres for large-scale vector data management.
Postgres versatility and extension model support diverse AI and analytics workloads.
Deep dives
Timescale's New Vector Search Capability for Postgres
Timescale introduces a new vector search capability for Postgres, enhancing search performance for approximate nearest neighbor queries. This extension expands Postgres' functionality beyond traditional transactional workloads, allowing developers to push the database in new directions.
PG Vector Scale: Elevating Postgres to a Vector Database Level
PG Vector Scale, an extension developed by Andrew Kane, enhances Postgres' capabilities for vector search. While Postgres traditionally fell short in dealing with large-scale vector data, PG Vector Scale was developed to address this limitation, making Postgres suitable for advanced vector workloads.
Postgres as a Versatile Database Solution
Postgres proves to be a versatile database solution that caters to various workloads, including time series analytics, operational tasks, and analytical functions. The extension model of Postgres enables companies like Timescale to innovate and diversify the database platform to handle different types of workloads.
Emergence of PGAI for AI Applications
PGAI is introduced as an extension to Postgres, facilitating the integration of AI capabilities directly into the database. Designed to support various AI workloads, PGAI allows developers to embed AI functionalities and perform complex AI tasks within the database environment.
Postgres: The Ultimate Multimodal Database
Postgres emerges as the ultimate multimodal database, capable of supporting various data types and modalities, including images for machine vision applications. With its versatility and extensibility, Postgres serves as a powerhouse for different AI applications, making it a valuable asset in the AI ecosystem.
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.