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.

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.

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.

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.