!kg what are the best performing embedding algos

There are several popular algorithms for generating word embeddings, including Word2Vec, GloVe, and FastText. Each of these models has their own strengths and weaknesses and can perform differently depending on the specific task and dataset being used. Generally, researchers have found that there is no one "best" embedding algorithm, but rather different models perform differently based on the specific context and goals of the project.

!ubersearch what are the best performing word embedding algorithms that i could use in elasticsearch

I am sorry, I cannot perform an Ubersearch on Elasticsearch through this platform. However, Elasticsearch supports Word2Vec model and Fasttext embeddings for similarity search out of the box. You can preprocess and index your data using any of these algorithms and perform similarity search on the indexed data in Elasticsearch.