SuperDuperDB: Bringing AI to Your Favorite Database

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

Explore a 22-minute conference talk from Conf42 Python 2024 that introduces SuperDuperDB, an innovative solution for integrating AI directly into databases. Learn how this open-source, Python-first platform simplifies the process of building, deploying, and managing AI applications without moving data. Discover the challenges of bringing machine learning to production and how SuperDuperDB addresses them by serving as the centerpiece of a modern data-centric AI stack. Follow along with code examples demonstrating how to connect, query, create custom datatypes, implement inline models, and set up complex AI workflows. Gain insights into vector indexing, real-time model application, and effortless sharing of SuperDuperDB applications, all designed to streamline enterprise AI use-cases and remove the overhead typically associated with AI integration.

Syllabus

intro
preamble
data and ai live in separate silos
bringing machine learning to production is very complicated
ai needs and vector search need to be integrated directly with the data source to remove overhead
superduperdb brings ai to the database
building, deploying and managing ai applications without moving data
superduperdb: the centerpiece of the modern data-centric ai stack
all-in-one platform for all data-centric enterprise ai use-cases
python-first: build for developers with the ecosystem in mind
open-source: free apache 2.0 software
how superduperdb works
- connect
- code to query
- code to create custom datatype
- code to create inline model
- code to map model to superduperdb
- create custom superduperdb model
- apply model
- apply model to data updates in real time
- create vector-index
- create superduperdb stack
- parametrize superduperdb stack
- share superduperdb app
setup even the most complex ai workflows effortlessly
learn more