Vector Embeddings Explained | Weaviate - vector search engine

Linking pages

A Gentle Introduction to Vector Databases | Weaviate - vector database https://weaviate.io/blog/what-is-a-vector-database 2 comments
Building a maintainable and modular LLM application stack with Hamilton https://blog.dagworks.io/p/building-a-maintainable-and-modular 0 comments

Linked pages

[1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
CLIP: Connecting Text and Images https://openai.com/blog/clip/ 15 comments
Precision and recall - Wikipedia https://en.wikipedia.org/wiki/Precision_and_recall 12 comments
Google Code Archive - Long-term storage for Google Code Project Hosting. https://code.google.com/archive/p/word2vec/ 5 comments
GitHub - weaviate/weaviate: Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database. https://github.com/weaviate/weaviate 5 comments
Vector space model - Wikipedia http://en.wikipedia.org/wiki/vector_space_model 2 comments
Word2vec - Wikipedia https://en.wikipedia.org/wiki/Word2vec 1 comment
Words With the Most Definitions https://www.insider.com/words-with-the-most-definitions-2019-1 0 comments
Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing – Google AI Blog https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html 0 comments
[1301.3781] Efficient Estimation of Word Representations in Vector Space https://arxiv.org/abs/1301.3781 0 comments
King - man + woman = queen: the hidden algebraic structure of words | The University of Edinburgh https://www.ed.ac.uk/informatics/news-events/stories/2019/king-man-woman-queen-the-hidden-algebraic-struct 0 comments