~/talk

SuperDuperDB: Bring AI to your favourite database!

on YouTube 22m
Talkat Conf42 Python 2024 · on Thursday, 2024-02-29· [databases, machine-learning]

speaker

name:Duncan Blythe
links:none on file

resources

video:https://youtu.be/SA38b0-Pfl0
slides:none on file

summary

SuperDuperDB claims to run models where the data lives so you never copy or ETL data, offering a Python package plus a deployment orchestrator using Ray, MongoDB connectors, an artifact store, and Apache 2.0 open source code. Demo builds a custom OpenCV video frame extractor, vectorizes frames with CLIP, wires a vector index with listener kept up to date via CDC, and returns exact timestamps for “elephant” hits — a working self‑hosted multimodal search. no data movement

AI-written summary · about

chapters (25)

  1. 0:00intro
  2. 0:20preamble
  3. 0:57data and ai live in separate silos
  4. 1:24bringing machine learning to production is very complicated
  5. 1:59ai needs and vector search need to be integrated directly with the data source to remove overhead
  6. 2:30superduperdb brings ai to the database
  7. 2:51building, deploying and managing ai applications without moving data
  8. 3:17superduperdb: the centerpiece of the modern data-centric ai stack
  9. 4:13all-in-one platform for all data-centric enterprise ai use-cases
  10. 4:43python-first: build for developers with the ecosystem in mind
  11. 5:05open-source: free apache 2.0 software
  12. 5:24how superduperdb works
  13. 8:23connect
  14. 8:43code to query
  15. 9:25code to create custom datatype
  16. 10:09code to create inline model
  17. 11:52create custom superduperdb model
  18. 12:36apply model
  19. 13:04apply model to data updates in real time
  20. 13:43create vector-index
  21. 14:07create superduperdb stack
  22. 14:28parametrize superduperdb stack
  23. 15:09share superduperdb app
  24. 15:25setup even the most complex ai workflows effortlessly
  25. 21:56learn more

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