A Fun & Absurd Introduction to Vector Databases • Alexander Chatzizacharias • GOTO 2025
Jun 10, 2026•Channel
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Published1 month ago
Duration45:40
Video IDqpUUEXq4xBU
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
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Views935
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Comments1
Engagement Rate2.03%
Likes per 100 views1.93
Comments per 1K views1.07
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Description
This presentation was recorded at GOTO Copenhagen 2025. #GOTOcon #GOTOcph
https://gotocph.com
Alexander Chatzizacharias - Software Engineer at JDriven
RESOURCES
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https://www.linkedin.com/in/alexander-chatzizacharias
ABSTRACT
Vector databases have emerged as an exciting new tech in the world of data storage. Unsurprisingly enough, they have become the go-to choice for storing vectors (who would have thought?!) and are widely used in conjunction with generative AI. Apart from their use in AI applications, they can also be extremely handy as search engines, especially if you are looking to implement natural language interfaces. If you're reading this and eager to harness the power of vector databases to bring your application to the next level, then this talk is tailor-made for you!
Whether you're an experienced database professional or an adventurous developer seeking fresh perspectives, Alexander will guide you through the process of getting started with a Vector Database. He will demonstrate how to translate your data into vectors and master the art of querying that data. From text search to image search to generative search, Alexander's goal is to provide an engaging introduction to Vector Databases and, hopefully, inspire you to explore their full potential. [...]
TIMECODES
00:00 Intro
01:28 Goal of this talk
02:54 Vectors
05:47 Machine learning
09:05 Vector databases
14:53 Demo
16:45 Vector databases continued
19:16 Implementing our own search
21:40 Demo: HNSW
25:04 Demo: Matrix
28:17 Demo: D&D
31:49 Demo: Pokemon
36:34 Demo: D&D
41:55 Demo: Duncan Hills
45:07 Outro
Download slides and read the full abstract here:
https://gotocph.com/2025/sessions/3588
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Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP
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