Table of news contents
- - Weaviate V1.5 is now released (HNSW Perfomance Boosts and LSM Tree Migration)
- - Weaviate at SciPy 2021
- - Schema Article
- - Weaviate Newsletter: April News from SeMI Technologies
- - Weaviate Newsletter: 🎉 Weaviate v1.2 is here!
- - Weaviate V1.2 now supports Transformers
- - Weaviate Newsletter: Join SeMI Technologies! 📣
- - Weaviate Newsletter: March News from SeMI Technologies
- - Weaviate Newsletter: February News from SeMI Technologies
- - Weaviate Newsletter: February News from SeMI Technologies
- - Weaviate V1.0 released! 🥳
- - Weaviate Newsletter: 🎉 Big news: Weaviate v1.0 Release 🎉
- - Weaviate Newsletter: Weaviate Standalone is here!
- - Weaviate Newsletter: Weaviate at NeurIPS Conference & More
- - Weaviate Newsletter: Start working with Weaviate and SeMI
- - Weaviate Newsletter: November News from SeMI Technologies
- - Weaviate Python Client video
- - Weaviate Newsletter: October News from SeMI Technologies
- - What if you could understand your unstructured data?
- - Weaviate Newsletter: Weaviate video with standalone (v1.0.0) sneak peek and more
- - Weaviate video - Q4 2020 updates
- - Weaviate on the Google Cloud Platform Marketplace
- - Weaviate Newsletter: September News from SeMI Technologies
- - Weaviate Newsletter: SeMI's February 2020 update
- - Weaviate in IEEE
- - FOSDEM 2020 video
- - FLOSS Weekly Podcast
- - Google Summer of Code 2020
- - Google Cloud's Stack chat
- - Weaviate Newsletter: SeMI's January 2020 update - docs, partnerships and Weaviate Cluster Service
- - Introduction & Demo video
- - Weaviate on DB-engines.com
- - Google Cloud Podcast
Google Cloud Podcast
Laura Ham is a guest on the Google Cloud podcast to talk about Weaviate and SeMI
About the podcast
Laura details what vector search engines are and how they can be useful for both small and large projects. Explaining that ontology is the meaning of words, she tells us how Weaviate is able to use this concept to make more specific data entries and links, allowing users to perform better and more informative searches. Weaviate is able to do this with the help of Kubernetes. Later, Laura tells Gabi and Jon the ways Weaviate helps developers and users with thorough documentation, assistance with troubleshooting, and support from solution engineers.