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Weaviate Podcast

Weaviate
Matryoshka Representations
Dspy
Approximate Nearest Neighbor Search
Machine Learning
Vector Databases
Deep Learning
Gpt-4
Artificial Intelligence
Colbert
Dataset Curation
AI Multimodality
VETREC
Ai-Native Databases
Retrieval Augmented Generation
AI Language Models
Open Source
Large Language Models
Extreme Multi-Label Classification
Instructor
Self-Discovery Framework

Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.

PublishesMonthlyEpisodes133Founded3 years ago
Category
Technology

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Artwork for Weaviate Podcast

Latest Episodes

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

YouTube

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

YouTube

Xiaoqiang Lin is a Ph.D. student at the National University of Singapore. During his time at Meta, Xiaoqiang lead the research behind REFRAG: Rethinking RAG-based Decoding. Traditional RAG systems use vectors to retrieve relevant context with semanti... more

YouTube

This episode dives into Weaviate's partnership with SAS! We are super excited about our recent collaboration on the SAS Retrieval Agent Manager (RAM), featuring a first party integration with Weaviate! The podcast dives into all sorts of aspects of E... more

YouTube

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Recent Guests

Matthew Russo
Ph.D. student at MIT working at the intersection of AI and database systems
MIT
Episode: Semantic Query Engines with Matthew Russo - Weaviate Podcast #131!
Xiaoqiang Lin
Ph.D. student at the National University of Singapore and former researcher at Meta
National University of Singapore
Episode: REFRAG with Xiaoqiang Lin - Weaviate Podcast #130!
Saurabh Mishra
Expert from SAS and speaker on AI applications
SAS
Episode: Weaviate and SAS with Saurabh Mishra and Bob van Luijt - Weaviate Podcast #129!
Bob van Luijt
Co-founder of Weaviate
Weaviate
Episode: Weaviate and SAS with Saurabh Mishra and Bob van Luijt - Weaviate Podcast #129!
Charles Pierse
Director of the Weaviate Labs team
Weaviate
Episode: Weaviate's Query Agent with Charles Pierse - Weaviate Podcast #128!
Lakshya A. Agrawal
PhD student at UC Berkeley and lead author of GEPA.
UC Berkeley
Episode: GEPA with Lakshya A. Agrawal - Weaviate Podcast #127!
Maarten Grootendorst
One of the most influential leaders in natural language processing and co-author of 'Hands-On Large Language Models'
Episode: Agentic Topic Modeling with Maarten Grootendorst - Weaviate Podcast #126!
Hailey Joren
Ph.D. student at the University of California, San Diego, focusing on RAG systems.
University of California, San Diego
Episode: Sufficient Context with Hailey Joren - Weaviate Podcast #125!
Nandan Thakur
Ph.D. student at the University of Waterloo, expert in information retrieval and benchmarking.
University of Waterloo
Episode: RAG Benchmarks with Nandan Thakur - Weaviate Podcast #124!

Host

Connor Shorten
Host focused on interviewing machine learning experts and exploring AI applications.

Reviews

4.3 out of 5 stars from 15 ratings
  • Great podcast

    I always learn a lot from these podcasts. Great work Connor!

    Apple Podcasts
    5
    Tod_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 Podcasts
    1
    Pluteski
    United Statesa year ago
  • Extremely distracting audio issues.

    Podcast Addict
    2
    marr75
    2 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Overall, the podcast is highly regarded for its educational value and relevance to those working in AI and machine learning.
Listeners appreciate the insightful discussions and expert interviews that offer in-depth knowledge on complex topics.
There are complaints about some episodes containing too much informal banter, which distracts from the informative content.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#92
Israel/Technology

Talking Points

Recent interactions between the hosts and their guests.

Pyversity with Thomas van Dongen - Weaviate Podcast #132!
Q: How do you see the line between diversification algorithms and topic modeling?
Diversification algorithms are faster and can efficiently handle real-time scenarios, unlike clustering algorithms which may be slow and complex.
Pyversity with Thomas van Dongen - Weaviate Podcast #132!
Q: What are the different algorithms in Pyversity and how do they differ?
These algorithms, like MMR and DPP, differ in how they balance relevance and diversity, with DPP optimized for volume in the embedding space.
Pyversity with Thomas van Dongen - Weaviate Podcast #132!
Q: What brought you to work on Pyversity?
I needed a library that implemented maximum marginal relevance properly, as I had rewritten it multiple times and found no existing solution.
REFRAG with Xiaoqiang Lin - Weaviate Podcast #130!
Q: What future directions for AI excite you the most?
I think right now the Agenetic is really one direction that I feel is most exciting for me, because that's actually one of the reasons why I wanted to work on this project.
REFRAG with Xiaoqiang Lin - Weaviate Podcast #130!
Q: What do you think about the limits of this compression?
The initial idea is to use one single embedding for the whole chunk... if you exceed that 32 compression rate, you would have a major performance degradation.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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

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1. Machine Learning Street Talk (MLST)

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Weaviate Podcast launched 3 years ago and published 133 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Weaviate Podcast?

Recent guests on Weaviate Podcast include:

1. Matthew Russo
2. Xiaoqiang Lin
3. Saurabh Mishra
4. Bob van Luijt
5. Charles Pierse
6. Lakshya A. Agrawal
7. Maarten Grootendorst
8. Hailey Joren

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