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- Weaviate newsletter - Week 52
Weaviate newsletter - Week 52
Hi everybody โ
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 properlyโฆ
๐ New Feature Announcement! Binary Passage Retrieval, a big leap forward for vector search.
๐น Demo from Henry AI Lab: How to upload the Keras Code Examples into the Weaviate Vector Search Engine!
๐ Presentation from Laura Ham on GraphQL Asia 2021: Data Science with Weaviate and GraphQL
Happy New Year to you all!
Donna
Cool Tweets
@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!
youtube.com/watch?v=3suEkkโฆ
Would love to chat further about these ideas and your research๐๏ธ, sent DM ๐
— Connor Shorten (@CShorten30)
Dec 24, 2021
Super excited to see that our ๐๐๐ model has been implemented in @SeMI_tech's #Weaviate vector search engine!๐ฅ
— Ikuya Yamada (@ikuyamada)
Dec 24, 2021
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. http
— Etienne Dilocker (@etiennedi)
Dec 1, 2021