Multilingual E5 Small
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Multilingual E5 Small is part of the E5 family of text embedding
models. This small variant contains 12 layers. This model is well-suited for
tasks such as:
Semantic Search: Finding documents or text passages that are
semantically relevant to a query.
Text Clustering: Grouping similar pieces of text based on their semantic
meaning.
Informative Response Generation: Following instructions to provide
summaries, explanations, or answers to factual queries.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-05-13 UTC."],[],[]]