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Weaviate newsletter - Week 50

SeMI Technologies
SeMI Technologies
Hi everybody – 
We have followed the vector search community with gazing eyes, the interest in vector search is rocketing! Some cool things that happened in the past 2 weeks:
📰 A super nice article on Techcrunch featuring Weaviate and vector search
💡 Wikidata featured Weaviate as Tool of the Week
🥳 We hit 2.000 stars on Github yesterday
🚨 For those who have heard about the log4j security exploit and want to know more about it, join our public Slack channel and get more in-depth information about why there is no danger for Weaviate users here.
Cheers! 
Donna 
SlackTwitterGithub

Cool Tweets
Python Trending
semantic-search-through-wikipedia-with-weaviate - Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine https://t.co/eZATb5C9kn
Heiko Paulheim
This is impressive! Real-time similarity search over @wikidata based on #embedding vectors trained using @pytorch #BigGraph, indexed and made searchable via @SeMI_tech @MetaAI https://t.co/pe75iOdRtK
Charles
This was a lot of fun. I really enjoyed coming on and chatting with @CShorten30 about how @keenious is leveraging vector search and Weaviate to build the next generation of academic search! https://t.co/GZIMgCWlqz
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SeMI Technologies
SeMI Technologies @weaviate_io

SeMI Technologies is the company behind the Weaviate vector search engine

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