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blablas/ep192/index.md

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---
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date: 2024-09-29
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time: 20h:00min
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duration: "1:27:53"
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title: "Vector Databases"
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tags: ["AI"]
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category: "AI"
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isNext: false
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youtube: hhttps://www.youtube.com/watch?v=7LNKYIIO-0M
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published: true
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featured: false
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---
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In this episode, we will explore Vector databases, a cutting-edge technology revolutionizing data storage and retrieval. We'll examine how these systems efficiently handle high-dimensional data, enabling advanced search capabilities and powering modern AI applications across various industries.
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## Guests
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- [Oumayma Essarhi](https://twitter.com/oumayma_es_)
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- [Taha Bouhsine](https://twitter.com/Tahabsn)
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- [Merouane Zouaid](https://x.com/merouanezouaid)
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## Notes
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0:00:00 - Introduction and welcoming
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0:03:47 - What is a Vector database?
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0:13:47 - Why using a Vector Database, and what are the differences with classic Databases?
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0:19:15 - Techniques used to speed search with Vector Databases
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0:31:58 - Vector databases and AI
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0:46:30 - Dealing with "curse of dimensionality" in Vector Databases
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0:55:02 - Privacy concerns while using Vector databases
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1:03:56 - Scalability of Vector Databases
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1:12:54 - Q&A and Giveaay
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1:27:00 - Conclusion
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## Links
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- [Extracting Training Data from Large Language Models](https://arxiv.org/pdf/2012.07805)
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- [30 days of ML](https://30daysofml.framer.ai/)
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- [Strategy of pickinga Vector database](https://www.reddit.com/r/LangChain/comments/170jigz/my_strategy_for_picking_a_vector_database_a/ )
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- [PGrounding AI in reality with a little help from Data Commons](https://research.google/blog/grounding-ai-in-reality-with-a-little-help-from-data-commons/?linkId=10989162)
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- [DataGemma](https://ai.google.dev/gemma/docs/datagemma)
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- [Masked Image Modeling with Vector-Quantized Visual Tokenizers](https://arxiv.org/pdf/2208.06366)
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- [An Any-to-Any Vision Model for Tens of Tasks and Modalities](https://arxiv.org/abs/2406.09406)
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## Prepared and Presented by
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- [Meriem Zaid](https://www.linkedin.com/in/meriem-zaid-652852187/)

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