Weaviate Podcast
WeaviateJoin Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
| Publishes | Monthly | Episodes | 135 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
Amélie Chatelain and Antoine Chaffin from LightOn are leading the way in the next generation of search powered by Multi-Vector representations and Late Interaction. The podcast begins with what motivates them to work on Multi-Vector Search, continuin... more
Doug Turnbull and Trey Grainger join the Weaviate Podcast to discuss all things AI-Powered Search! The conversation kicks off with designing search experiences, not all search queries are the same! Sometimes the user knows exactly what they want (a p... more
Thomas van Dongen is the head of AI engineering at Springer Nature and the creator of Pyversity! Pyversity is a fast, lightweight open-source Python library for diversifying retrieval results. Retrieval systems often return highly similar items. Pyve... more
Matthew Russo is a Ph.D. student at MIT where he is researching the intersection of AI and Database Systems. AI is transforming Database Systems. Perhaps the biggest impact so far has been natural language to query language translations, or Text-to-S... more
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Reviews
- Great podcast
I always learn a lot from these podcasts. Great work Connor!
Apple Podcasts5Tod_45
United Statesa year ago - Too much giggling
Keep it informative. I don’t know what you’re laughing at. I don’t understand your inside jokes but it’s uninteresting. use a better mic. Edit your Podcasts and redo it if it sounds crappy like this one did.
Apple Podcasts1PluteskiUnited Statesa year ago Extremely distracting audio issues.
Podcast Addict22 years agomarr75
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Apple Podcasts | #237 |  South Africa/Technology |
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Frequently Asked Questions About Weaviate Podcast
What is Weaviate Podcast about and what kind of topics does it cover?
This podcast centers around the rapidly evolving fields of artificial intelligence and machine learning, featuring in-depth interviews with leading experts. The discussions often highlight advanced topics such as semantic query processing, retrieval-augmented generation systems, and innovative techniques in AI like multi-vector retrieval and context optimization. Notable guests from prestigious institutions and notable companies contribute insights into real-world applications and challenges in the AI landscape. With a focus on Weaviate, an open-source vector database, the content is tailored for professionals interested in implementing AI solutions and enhancing their data management capabilities. Listeners can expect to gain valuable know... more
Where can I find podcast stats for Weaviate Podcast?
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How many listeners does Weaviate Podcast get?
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What are the audience demographics for Weaviate Podcast?
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How many subscribers and views does Weaviate Podcast have?
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Which podcasts are similar to Weaviate Podcast?
These podcasts share a similar audience with Weaviate Podcast:
1. Latent Space: The AI Engineer Podcast
2. Machine Learning Street Talk (MLST)
3. Dwarkesh Podcast
4. NVIDIA AI Podcast
5. The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
How many episodes of Weaviate Podcast are there?
Weaviate Podcast launched 3 years ago and published 135 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Weaviate Podcast?
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Where can I see ratings and reviews for Weaviate Podcast?
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How do I access podcast episode transcripts for Weaviate Podcast?
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What guests have appeared on Weaviate Podcast?
Recent guests on Weaviate Podcast include:
1. Doug Turnbull
2. Trey Grainger
3. Matthew Russo
4. Xiaoqiang Lin
5. Saurabh Mishra
6. Bob van Luijt
7. Charles Pierse
8. Lakshya A. Agrawal
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.