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Weaviate 1.2 release - transformer models

Blog post from Weaviate

Post Details
Company
Date Published
Author
Etienne Dilocker
Word Count
258
Company Posts That Month
1
Language
English
Hacker News Points
-
Post removed?
No
Summary

Weaviate v1.2 introduces transformers (DistilBERT, BERT, RoBERTa, Sentence-BERT, etc) for vectorizing and semantically searching through data. Transformers are deep learning models used in NLP tasks. With the text module selected in the Weaviate configuration tool, users can run Weaviate with transformers in one command. Custom transformer models compatible with Hugging Face's AutoModel and AutoTokenizer can also be utilized. Weaviate now allows for sub-50ms results by using transformers on your own data.

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