Weaviate
Weaviate Podcast
Join Connor Shorten as he interviews machine learning experts and explores Weaviate use cases from users and customers.
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Episodes
Maximilian Werk on Jina AI's Neural Search Framework 03.05.2022 1:11:14
Weaviate Podcast #15. Weaviate is used as a database for 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. Also, Maximilian will give a Jina Example Walkthrough... Enjoy!!
UNC research team on VL Adapter for Efficient CLIP Transfer 26.04.2022 28:21
Weaviate Podcast #14. Thanks for watching the Weaviate podcast! Our 14th episode welcomes Yi-Lin Sung, Jaemin Cho, and Professor Mohit Bansal, a research team from UNC! Our guests present their work on VL Adapter, a technique to achieve full fine-tuning performance while only updating 4% of original parameters!! This is an incredibly interesting finding for the sake of cost-effective tuning of Vis...
Data Science with Rick Lamers from Orchest 05.04.2022 47:18
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.
Jonathan Frankle, Research Scientist in Deep Learning 29.03.2022 1:00:09
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....
CEO Han Xiao From Jina AI 15.03.2022 1:17:29
Weaviate Podcast #11. You can now use Weaviate as the document store for DocumentArray in Jina AI. We had the pleasure to talk with their CEO Han Xiao. See the timestamps below what it is all about, or check out the recap from Henry AI!
Yury Malkov and Etienne Dilocker about HNSW in Vector Search and Weaviate 10.03.2022 1:00:38
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!
Karen Beckers about The Role of Vector Search in eCommerce 03.03.2022 53:41
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.
Brady Neal about Causal Inference in Vector Search 28.02.2022 1:20:12
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.
Arvind Neelakantan of OpenAI • Embeddings API in Weaviate 11.02.2022 47:38
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.
How Zencastr Searches through their Podcast Transcriptions with Weaviate 02.02.2022 55:33
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!
How The Knowledge Management Bot Katie leverages Weaviate 21.01.2022 1:25:36
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!
On Deepset's Haystack and how they leverage The Weaviate Vector Search Engine 11.01.2022 57:06
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.
A Vision for The Future of Vector Search 20.12.2021 1:00:01
Weaviate Podcast #3. Join Connor Shorten and Bob van Luijt (SeMI Technologies) for the third Weaviate vector search engine Podcast. During the show, they will be discussing use cases, the GraphQL API, knowledge graphs, Weaviate as a product, vector search engine use cases, and a vision for the future of vector search.
How Keenious uses Weaviate to Enable Semantic Search through 60M+ Academic PUBs 13.12.2021 1:23:26
Weaviate Podcast #2. Join Connor Shorten (Henry AI Labs) and Charles Pierse (Keenious) for the second Weaviate vector search engine Podcast. During the show, they will be discussing how Keenious uses Weaviate and broader, all things NLP!
Community and Weaviate Core Update 05.12.2021 46:54
Weaviate Podcast #1. Join Connor Shorten and Etienne Dilocker (SeMI Technologies) 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.
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