Weaviate Podcast
Weaviate
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
Episodes
Mentioned books
Apr 5, 2022 • 47min
Data Science with Rick Lamers from Orchest
Weaviate Podcast #13. Rick Lamers, CEO, and Founder of Orchest.io. Orchest is a tool targeted at data scientists and this software simplifies building data pipelines.
Mar 29, 2022 • 1h
Jonathan Frankle, Research Scientist in Deep Learning
Weaviate Podcast #12. Please check out Composer from MosaicML! https://github.com/mosaicml/composer Jonathan Frankle is the Chief Scientist at MosaicML and a PhD student in Machine Learning at MIT. Jonathan is the first author of “The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks” which won an ICLR best paper award. You can learn more about Jonathan Frankle here: http://www.jfrankle.com/. Here is an explanation of how to use the Python library of Composer: https://www.youtube.com/watch?v=Xi_5w...
Mar 15, 2022 • 1h 17min
CEO Han Xiao From Jina AI
Han Xiao, Founder and CEO of Jina AI, shares insights into the evolving world of neural search. He discusses his early experiences at Zalando and Tencent that fueled his passion for this tech. Han dives into building effective neural search pipelines, including hierarchical embeddings for images and the innovative DocumentArray structure. He outlines Jina Hub's foundations and how developers can publish their workflows easily. Lastly, he touches on the challenges of running an open-source company and the exciting future of multimodal searches.
Mar 10, 2022 • 1h 1min
Yury Malkov and Etienne Dilocker about HNSW in Vector Search and Weaviate
Weaviate Podcast #10. A guided conversation about HNSW by Connor Shorten between Yury Malkov, Staff ML Engineer at Twitter and the co-inventor of HNSW, and Etienne Dilocker, the co-founder of Weaviate. Check the timestamps below!
Mar 3, 2022 • 54min
Karen Beckers about The Role of Vector Search in eCommerce
Weaviate Podcast #9. Karen Beckers, Data Scientist from Squadra Machine Learning Company, gives insightful information about how to use vector search in eCommerce in this podcast with Connor Shorten. Some topics are image-based datasets, vector search for data scientists, the future of eCommerce, and many more! See the timestamps below for more information.
Feb 28, 2022 • 1h 20min
Brady Neal about Causal Inference in Vector Search
Weaviate Podcast #8. 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.
Feb 11, 2022 • 48min
Arvind Neelakantan of OpenAI • Embeddings API in Weaviate
Weaviate Podcast #7. 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.
Feb 2, 2022 • 56min
How Zencastr Searches through their Podcast Transcriptions with Weaviate
Weaviate Podcast #6. 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!
Jan 21, 2022 • 1h 26min
How The Knowledge Management Bot Katie leverages Weaviate
Weaviate Podcast #5. Katie is a knowledge management bot, continuously improving, self-learning, and trained by humans. Under the hood, Katie is powered by the Weaviate vector search engine, during this podcast, Katie's Michael Wechner will talk about all things vector search and more!
Jan 11, 2022 • 57min
On Deepset's Haystack and how they leverage The Weaviate Vector Search Engine
Weaviate Podcast #4. 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 search engine as a persistent storage engine for their data and vector representations.
