Multilingual E5 Small Stay organized with collections Save and categorize content based on your preferences.
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 2025-12-19 UTC."],[],[]]