Weaviate Podcast
Join Connor Shorten as he interviews Weaviate community users, leading machine learning experts, and explores Weaviate use cases from users and customers.
Box AI with Ben Kus and Bob van Luijt - Weaviate Podcast #120
Welcome to the 120th episode of the Weaviate Podcast featuring Ben Kus, CTO from Box.
Structured Outputs with Will Kurt and Cameron Pfiffer - Weaviate Podcast #119
Dive into the fascinating world of structured outputs with Will Kurt and Cameron Pfeiffer, the brilliant minds behind Outlines.
Synthetic Data with David Berenstein and Ben Burtenshaw - Weaviate Podcast #118
Welcome to the 118th episode of the Weaviate Podcast featuring David Berenstein and Ben Burtenshaw from HuggingFace!
Letta AI with Sarah Wooders - Weaviate Podcast #117
Thank you so much for watching the 117th episode of the Weaviate podcast! In this episode, we dive deep into the cutting edge of AI agent development with Sarah Wooders, co-founder and CTO of Letta AI.
Agent Experience with Matt Biilmann, Sebastian Witalec, and Charles Pierse - Weaviate Podcast #116
Welcome to the 116th episode of the Weaviate Podcast featuring Matt Biilmann, Co-Founder and CEO of Netlify, as well as Sebastian Witalec and Charles Pierse from Weaviate to discuss Agent Experience!
Optimizing Retrieval Agents with Shirley Wu - Weaviate Podcast #115
Welcome to the 115th episode of the Weaviate Podcast featuring Shirley Wu from Stanford University!
Contextual AI with Amanpreet Singh - Weaviate Podcast #114
Welcome to the 114th episode of the Weaviate Podcast featuring Amanpreet Singh, Co-Founder and CTO of Contextual AI!
Cartesia AI with Karan Goel - Weaviate Podcast #113
Thank you so much for watching the 113th episode of the Weaviate Podcast with Karan Goel from Cartesia AI! Cartesia AI is leading the AI world in text-to-speech models!
Vertex AI RAG Engine with Lewis Liu and Bob van Luijt - Weaviate Podcast #112
Thank you so much for watching the 112th episode of the Weaviate Podcast! We dive into the release of the Vertex AI RAG Engine, its integration with Weaviate and thoughts on the future of connecting AI systems with knowledge sources!
Morningstar Intelligence Engine with Aravind Kesiraju - Weaviate Podcast #111
Thank you so much for watching the 111th episode of the Weaviate Podcast with Aravind Kesiraju! Aravind is a Principal Software Engineer at Morningstar where he has led the effort behind the Morningstar Intelligence Engine!
Arctic Embed with Luke Merrick, Puxuan Yu, and Charles Pierse - Weaviate Podcast #110
Welcome to the 110th episode of the Weaviate Podcast! Today we are diving into Snowflake’s Arctic Embedding model series and their newly released Arctic Embed 2.0 open-source model, additionally supporting multilingual text embeddings.
Agentic RAG with Erika Cardenas - Weaviate Podcast #109
Thank you so much for watching the 109th episode of the Weaviate Podcast with Erika Cardenas! Erika, in collaboration with Leonie Monigatti, have recently published "What is Agentic RAG".
Let Me Speak Freely? with Zhi Rui Tam - Weaviate Podcast #108
Welcome to the 108th Weaviate Podcast with Zhi Rui Tam, the lead author of Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models!
SWE-bench with John Yang and Carlos E. Jimenez - Weaviate Podcast #107
Thank you so much for watching the 107th episode of the Weaviate Podcast! This one dives into SWE-bench, SWE-agent, and most recently SWE-bench Multimodal with John Yang from Stanford University and Carlos E. Jimenez from Princeton University!
AI in Education with Rose E. Wang - Weaviate Podcast #106
Welcome to the 106th episode of the Weaviate Podcast featuring Rose E. Wang! Rose is a Ph.D. student at Stanford University where she has lead incredible research at the cutting-edge of AI applications in Education.
Compound AI Systems with Philip Kiely - Weaviate Podcast #105
Thanks so much for watching the 105th episode of the Weaviate Podcast with Philip Kiely! This one dives into all sorts of apsects related to Compound AI Systems!
AI Agents That Matter with Sayash Kapoor and Benedikt Stroebl - Weaviate Podcast #104
Welcome to the 104th Weaviate Podcast with Sayash Kapoor and Benedikt Stroebl from Princeton Language and Intelligence! Sayash and Benedikt are co-first authors of "AI Agents That Matter".
MIPRO and DSPy with Krista Opsahl-Ong! - Weaviate Podcast #103
Welcome to the 103rd Weaviate Podcast with Krista Opsahl-Ong from Stanford University. Krista is the lead author of MIPRO and one of the leading developers and scientists behind DSPy!
AI-Native Development with Guy Podjarny and Bob van Luijt - Weaviate Podcast #102!
What does it mean for a software application to be AI-Native versus AI-Enabled? This episode we dive into a deep discussion with Guy Podjarny and Bob van Luijt
Scaling Pandas with Devin Petersohn - Weaviate Podcast #101!
Welcome to the 101st episode of the Weaviate Podcast with Devin Petersohn! Devin is the creator of Modin, one of the world's most advanced systems for scaling Pandas!
Generative UIs with Lucas Negritto and Bob van Luijt - Weaviate Podcast #100!
What is an AI-native application? This podcast explores this question with Weaviate Co-founder Bob van Luijt and Lucas Negritto.
ACORN with Liana Patel and Abdel Rodriguez - Weaviate Podcast #99!
Liana Patel is a Ph.D. student at Stanford University who is the lead author of ACORN, a breakthrough in Approximate Nearest Neighbor Search with Filters!
Window Search Tree with Josh Engels - Weaviate Podcast #98!
Welcome to the the 98th Podcast featuring Josh Engels, a Ph.D. student at MIT who has published several works advancing the state of the art in Vector Search.
The Future of Search with Nils Reimers and Erika Cardenas - Weaviate Podcast #97!
Welcome to the the 97th Weaviate Podcast featuring Nils Reimers, Director of Machine Learning at Cohere, and Erika Cardenas, Technology Partner Manager at Weaviate!
Deep Learning with Letitia Parcalabescu
Thank you & welcome to the 96th episode of the Weaviate podcast featuring Letitia Parcalabescu!
Google Cloud Marketplace with Dai Vu and Bob van Luijt
Welcome to the 95th Weaviate Podcast! We are beyond honored to feature Dai Vu from Google on this one, alongside Weaviate Co-Founder Bob van Luijt!
Parlay ANN with Magdalen Dobson Manohar
We are super excited to share our 94th Weaviate podcast with Magdalen Dobson Manohar!
RAGKit with Kyle Davis
So pleased to publish our newest Weaviate podcast with Kyle Davis, the creator of RAGKit!
VetRec with David de Matheu
Our 92nd episode of the Weaviate podcast with David de Matheu!
Tengyu Ma on Voyage AI
We are super excited to publish our latest Weaviate podcast with Tengyu Ma, Co-Founder of Voyage AI and Assistant Professor at Stanford University!
Self-Discover DSPy with Chris Dossman
Our 90th Weaviate Podcast with Chris Dossman! Self-Discover is a fascinating new algorithm from researchers at Google DeepMind and USC.
Matryoshka Embeddings with Aditya Kusupati, Zach Nussbaum, and Zain Hasan
Hey everyone! Our 89th Weaviate Podcast on Matryoshka Representation Learning!
Instructor with Jason Liu
Jason Liu is the creator of Instructor, one of the world's leading LLM frameworks, particularly focused on structured output parsing with LLMs.
XMC.dspy with Karel D'Oosterlinck
Welcome to the 87th episode of the Weaviate Podcast! I am SUPER excited to welcome Karel D'Oosterlinck! Karel is the creator of IReRa (Infer-Retrieve-Rank)!
Open-Source AI with Vinod Valloppillil and Bob van Luijt
We are super excited to publish this podcast with Vinod Valloppillil and Bob van Luijt on Open-Source AI and future directions for RAG!
DSPy and ColBERT with Omar Khattab
Hey everyone! I am beyond excited to present this interview with Omar Khattab from Stanford University!
Subjectivity in AI with Dan Shipper and Bob van Luijt
The fourth and final episode of the AI-Native Database series with Dan Shipper! This was another epic one!
Humans and AI with John Maeda and Bob van Luijt
The 3rd episode of the AI-Native Database series featuring John Maeda and Bob van Luijt!
Structure in Data with Paul Groth and Bob van Luijt
Watch the second episode of AI-Native Databases with Paul Groth! This was another epic one, diving deep into the role of structure in our data!
Self-Driving Databases with Andy Pavlo and Bob van Luijt
The first episode of AI-Native Databases with Andy Pavlo!
Weaviate at NeurIPS 2023 (Interview Series)
Our interview series from the NeurIPS (Neural Information Processing Systems) conference 2023!
Weaviate 1.23 Release Podcast with Etienne Dilocker
Weaviate 1.23 Release Podcast with Weaviate Co-Founder and CTO Etienne Dilocker!
Rudy Lai on Tactic Generate - Weaviate Podcast #78
The 78th episode of the Weaviate podcast featuring Rudy Lai, the founder and CEO of Tactic Generate!
RAGAS with Jithin James, Shahul Es, and Erika Cardenas - Weaviate Podcast #77
The 77th Weaviate Podcast on RAGAS, featuring Jithin James, Shahul ES, and Erika Cardenas!
Patrick Lewis on Retrieval-Augmented Generation - Weaviate Podcast #76
Our 76th Weaviate Podcast featuring Patrick Lewis, an NLP Research Scientist at Cohere!
Tanmay Chopra on Emissary - Weaviate Podcast #75
The 75th Weaviate Podcast featuring Tanmay Chopra!
Simba Khadder on FeatureForm - Weaviate Podcast #74
The 74th Weaviate Podcast feature Simba Khadder, the CEO and Co-Founder of FeatureForm!
Charles Packer on MemGPT - Weaviate Podcast #73
Our 73rd Weaviate Podcast with Charles Packer, the lead author of MemGPT at UC Berkeley!
Madelon Hulsebos on Tabular Machine Learning - Weaviate Podcast #72
The 72nd episode of the Weaviate Podcast with Madelon Hulsebos!
LLM Agents
Greg Kamradt and Colin Harmon explain the latest on LLM Agents!
Kapa AI
Emil Sorensen and Finn Bauer explain the technology behind Kapa AI!
Neurosymbolic AI
Professor Laura Dietz explains the state of Neurosymbolic AI methods in Search!
Unstructured
Brain Raymond explains the vision behind Unstructured!
ChatArena
Yuxiang Wu explains ChatArena, a software library to enable LLMs to talk with each other
HyperDB
John Dagdelen is interviewed by Bob van Luijt and Etienne Dilocker on HyperDB
Generative Feedback Loops
Bob van Luijt discusses Generative Feedback Loops and their impact on Vector Databases
Weaviate 1.19 Release Podcast
Etienne Dilocker explains the latest changes in Weaviate 1.19!
Recommendation and Metarank
Erika Cardenas, Roman Grebennikov, and Vsevolod Goloviznin discuss the latest on Recommendation!
Mixpeek and the AI landscape
Ethan Steininger explains his entrepeneurial journey in the world of AI!
Mem and LLMs!
Dennis Xu explains how Mem is using the latest advances in LLMs and AI to revolutionize information management!
Weaviate 1.18 Release Podcast
Etienne Dilocker explains the latest changes in Weaviate 1.18!
OpenVerkiezingenNL
Floris Hoogenboom explains how OpenVerkiezingenNL was built with Weaviate!
Information Retrieval Science
Leo Boystov explains the science of information retrieval and new ideas!
LlamaIndex and Weaviate
Jerry Liu and Bob van Luijt discuss the new ideas behind Llama Index!
LangChain and Weaviate
Harrison Chase and Bob van Luijt discuss the new ideas in LangChain and its collaboration with Weaviate!
Generative Search with Weaviate
Bob van Luijt on Weaviate's new generate module!
Neural Search Frameworks
Dmitry Kan on the Neural Search Pyramid and the state of Search technology.
Cohere Multilingual Embedding Models
Nils Reimers discusses the details of Cohere's new models and research on Deep Learning for Text Embeddings!
You.com and Spark
Sam Bean, Zain Hasan, and John Trengrove discuss You.com and the Weaviate Spark Connector for big data imports!
Weaviate 1.17
Etienne Dilocker and Parker Duckworth explain Replication, Hybrid Search, and other fixes in Weaviate 1.17. This podcast also includes a discussion of Ref2Vec!
The Future of Search
Bob van Luijt, Chris Dossman, and Marco Bianco react to the implications of ChatGPT on the future of search technology!
Product Quantization and Faiss
Matthijs Douze tells the story of his research in Product Quantization, also featuring Abdel Rodriguez and Etienne Dilocker!
BERTopic
Marten Grootendorst explains how BERTopic can create interpretable clusters in vector spaces!
Neural Magic in Weaviate
Michael Goin explains how Neural Magic uses Sparsity to achieve faster and cheaper Deep Learning inference on CPUs!
MosaicML Cloud
Jonathan Frankle explains the new MosaicML Cloud, cost estimates for custom Large Language Models, and more!
Vector Search in Production
Erik Bernhardsson and Etienne Dilocker discuss Erik's work on ANNOY at Spotify and many more topics related to running Vector Search in Production!
Weaviate 1.15 Release!
Join Etienne, Dirk and Connor to learn about what is new in the latest Weaviate release.
Ori Ram on Self-Supervised Retrieval
This episode dives into a new technique for Self-Supervised retrieval in NLP with some incredible results!
Yaoshiang Ho of Masterful AI
Yaoshiang is a Co-Founder of Masterful AI, a company doing incredible work in the Computer Vision model training and deployment space.
Laura Ham on Weaviate User Experience
Laura Ham has had a heavy influence on all things from the GraphQL User Experience design to the Graph data model, and creation of educational content!
Question Answering with Haystack
Tuana Celik - a Developer Advocate at Deepset - and Connor to learn about many exciting ideas around Question Answering.
Weaviate 1.14 Release!
Join Etienne Dilocker and Connor to learn about what is new in the latest Weaviate release.
Vincent D. Warmerdam on Applications of Nearest Neighbor Search
Join Vincent and Connor, to learn how the nearest neighbor search can aid in tasks such as Data De-Duplication and Data Labeling!
Scientific Literature Mining with Kyle Lo
Join Kyle Lo and Connor, to learn how Vector Search enables us to find semantically similar items in large collections.
Weaviate's ANN Benchmarks
Join Etienne Dilocker and Connor Shorten to learn about the latest benchmark report for Weaviate.
Jina AI's Neural Search Framework
In this podcast Maximilian Werk, Engineering Director at Jina AI, will talk about all things related to this neural search framework together with Connor Shorten.
Yi-Lin Sung & Jaemin Cho & Mohit Bansal • VL Adapter for Efficient CLIP Transfer
These three interesting guests will explain their paper VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks.
Rick Lamers • Orchest + Weaviate + Streamlit
Search for comments using Weaviate's semantic search features with Orchest, Weaviate, and Streamlit.
Rick Lamers • Data Science with Orchest
Orchest is a software that simplifies building data pipelines. If you are into data science, get inspired by CEO Rick Lamers.
Jonathan Frankle • Research Scientist in Deep Learning
Jonathan Frankle is the Chief Scientist at MosaicML and a PhD student in Machine Learning at MIT. Learn all about Efficient Deep Learning in this inspiring podcast.
Han Xiao CEO and Founder of Jina AI
Jina AI is a cloud-native neural search framework and in this podcast, Han Xiao the CEO of Jina AI is telling about all the interesting elements at stake here.
Yury Malkov co-author of HNSW • HNSW in Vector Search and Weaviate
At the heart of Weaviate sits HNSW, the ANN algorithm that brings the vector database to life! Check out this amazing podcast about the science and engineering behind it.
Karen Beckers of Squadra • vector search in eCommerce
Karen Beckers, Data Scientist from Squadra Machine Learning Company, gives insightful information about how to use vector search in eCommerce.
Brady Neal of Oogway • Causal Inference in Vector Search
Brady Neal from Oogway talks with Connor Shorten from Henry AI Labs about causal inference and many more. See the timestamps below to check out what this podcast is all about.
Arvind Neelakantan of OpenAI • Embeddings API in Weaviate
Arvind Neelakantan, Research Lead at Open AI, talks with Connor Shorten about their newly released embeddings API, his work at Open AI, the integration into Weaviate, and more.
Alex Cannan of Zencastr • How Zencastr searches through their podcast transcriptions with Weaviate
Alex Cannan, a Machine Learning engineer at Zencastr, talks with Connor Shorten about a really exciting use case of applying search to look through podcast transcription. Topics discussed are the need for fine-tuning, building your own vector database versus Weaviate, data privacy for Deep Learning applications, and many more!
Michael Wechner of Katie • How the knowledge management bot Katie leverages Weaviate
Katie is a knowledge management bot, continuously improving, self-learning, and trained by humans. Under the hood, Katie is powered by the Weaviate vector database, during this podcast, Katie's Michael Wechner will talk about all things vector search and more!
Malte Pietsch of Deepset • On Deepset's Haystack and how they leverage the Weaviate vector database
NLP frameworks like Deepset's Haystack are powerful tools to help data scientists and software engineers work with the latest and greatest in natural language processing. In this interview, Malte Pietsch will be talking about Haystack and how they leverage the Weaviate vector database as a persistent storage engine for their data and vector representations.
Bob van Luijt of Weaviate • Vector search use cases, GraphQL API UX, multimodal models, and more...
Join Connor Shorten and Bob van Luijt (Weaviate) for the third Weaviate vector database Podcast. During the show, they will be discussing use cases, the GraphQL API, knowledge graphs, Weaviate as a product, vector database use cases, and a vision for the future of vector search.
Charles Pierse of Keenious • How Keenious uses Weaviate to enable semantic search through 60M+ academic PUBs
Join Connor Shorten and Charles Pierse (Keenious) for the second Weaviate vector database Podcast. During the show, they will be discussing how Keenious uses Weaviate and broader, all things NLP!
Etienne Dilocker of Weaviate • Community and Weaviate core update
Join Connor Shorten and Etienne Dilocker (Weaviate) for the first Weaviate Podcast. During the show, they will be discussing Weaviate's horizontal scalability features in the v1.8.0 release and a wide variety of topics surrounding the Weaviate Slack channel.