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

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.

5 snips
Dec 20, 2021 • 1h
A Vision for The Future of Vector Search
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.

Dec 13, 2021 • 1h 23min
How Keenious uses Weaviate to Enable Semantic Search through 60M+ Academic PUBs
Connor Shorten and Charles Pierse discuss how Keenious uses Weaviate for semantic search in academic publications. They explore the concept of neuro-symbolic search and serendipity in academic paper search, the role of ontologies and knowledge graphs, and the versatility and modularity of Weaviate. They also discuss the H&S W algorithm and pre-filtering, as well as the potential of automated scientific reviewing as a SaaS product.

Dec 5, 2021 • 47min
Community and Weaviate Core Update
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.