Multilingual E5 Large is part of the E5 family of text embedding
models. This large variant contains 24 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"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-10-16 UTC."],[],[]]
