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Weaviate newsletter - Week 52

SeMI Technologies
SeMI Technologies
@weaviate_io
Hi everybody – 
A small newsletter to share a little bit of joy from our side. We have felt much delight to have you all in our community and got a lot of energy from all the input you created.  
We are excited about what next year will bring to all of us, considering what a year (especially Q4) it already has been! Thank you so much for your effort. 
Here are some new cool things to end the year properly…
😊 New Feature Announcement! Binary Passage Retrieval, a big leap forward for vector search.
📹 Demo from Henry AI Lab: How to upload the Keras Code Examples into the Weaviate Vector Search Engine!
🎉 Presentation from Laura Ham on GraphQL Asia 2021: Data Science with Weaviate and GraphQL
Happy New Year to you all!
Donna 
Slack – Twitter – Github

Cool Tweets
Connor Shorten
@ikuyamada @SeMI_tech Thanks for the paper Ikuya, really cool idea!

I hope you like this video, presenting my understanding of the loss functions introduced in your paper at the 3:43 mark!

https://t.co/oGe5BbJR8o

Would love to chat further about these ideas and your research🎙️, sent DM 😎
Ikuya Yamada
Super excited to see that our 𝐁𝐏𝐑 model has been implemented in @SeMI_tech's #Weaviate vector search engine!🔥 https://t.co/wu7vtkms0S
Etienne Dilocker
I keep being impressed by Weaviate's wine-related knowledge. Especially considering that these are just general purpose (S-BERT & QnA) models running on the entire en-Wikipedia dataset. No domain-specific fine-tuning. https://t.co/b0eY0q8kpT
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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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