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Vector Databases and the Future of AI-Native Applications with Weaviate’s CEO Bob van Luijt

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Manage episode 447105144 series 3611124
Content provided by Matt Turck. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Turck or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we sat down with Bob van Luijt (https://twitter.com/bobvanluijt), the CEO of Weaviate, diving into the cutting-edge world of vector databases and their role in the AI revolution.

Weaviate is an open source, AI-native vector database that helps developers create intuitive and reliable AI-powered applications. Weaviate sets itself apart with its vector search engine that integrates machine learning directly into its core, enabling more nuanced and context-aware search capabilities for AI-driven applications.

This conversation explores vector databases (the core infrastructure behind generative models), the role of Retrieval-Augmented Generation (RAG), and how open source is driving commercial use cases.

WEAVIATE

Website - https://weaviate.io

Twitter - https://twitter.com/weaviate_io

Bob van Luijt (Co-Founder & Co-CEO):

LinkedIn - https://www.linkedin.com/in/bobvanluijt

Twitter - https://twitter.com/bobvanluijt

Matt Turck:

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck

DATA DRIVEN NYC

This episode of the MAD Podcast was recorded live at Data Driven NYC, an event series organized by FirstMark Capital. The events are free and held monthly in New York, currently with the support of Foursquare.

If you wish to attend and be notified of future events, please follow FirstMark on Eventbrite at https://www.eventbrite.com/o/firstmark-capital-2215570183

01:00 What is RAG?

06:20 Why is embedding models is such a hot topic right now?

08:06 What is your assessment of RAG?

09:53 Generative feedback loops

11:46 What is Hybrid Search?

15:15 What makes Weaviate special?

16:53 What about security?

17:45 Does RAG accelerated the need for real-time data?

19:27 How to define good vector database?

22:11 What do you think about general purpose databases entering the field of vector-based databases?

23:47 Interesting use cases of Weaviate

25:27 What’s your sense of the current state of the market?

26:53 Open source vs commercial product on Weaviate

29:23 How did it all get started?

  continue reading

79 episodes

Artwork
iconShare
 
Manage episode 447105144 series 3611124
Content provided by Matt Turck. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Turck or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we sat down with Bob van Luijt (https://twitter.com/bobvanluijt), the CEO of Weaviate, diving into the cutting-edge world of vector databases and their role in the AI revolution.

Weaviate is an open source, AI-native vector database that helps developers create intuitive and reliable AI-powered applications. Weaviate sets itself apart with its vector search engine that integrates machine learning directly into its core, enabling more nuanced and context-aware search capabilities for AI-driven applications.

This conversation explores vector databases (the core infrastructure behind generative models), the role of Retrieval-Augmented Generation (RAG), and how open source is driving commercial use cases.

WEAVIATE

Website - https://weaviate.io

Twitter - https://twitter.com/weaviate_io

Bob van Luijt (Co-Founder & Co-CEO):

LinkedIn - https://www.linkedin.com/in/bobvanluijt

Twitter - https://twitter.com/bobvanluijt

Matt Turck:

LinkedIn - https://www.linkedin.com/in/turck/

Twitter - https://twitter.com/mattturck

DATA DRIVEN NYC

This episode of the MAD Podcast was recorded live at Data Driven NYC, an event series organized by FirstMark Capital. The events are free and held monthly in New York, currently with the support of Foursquare.

If you wish to attend and be notified of future events, please follow FirstMark on Eventbrite at https://www.eventbrite.com/o/firstmark-capital-2215570183

01:00 What is RAG?

06:20 Why is embedding models is such a hot topic right now?

08:06 What is your assessment of RAG?

09:53 Generative feedback loops

11:46 What is Hybrid Search?

15:15 What makes Weaviate special?

16:53 What about security?

17:45 Does RAG accelerated the need for real-time data?

19:27 How to define good vector database?

22:11 What do you think about general purpose databases entering the field of vector-based databases?

23:47 Interesting use cases of Weaviate

25:27 What’s your sense of the current state of the market?

26:53 Open source vs commercial product on Weaviate

29:23 How did it all get started?

  continue reading

79 episodes

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