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Instructor

Embedding model that takes a task instruction alongside the text.

model Embedding Models Apache-2.0 9 relationships

Overview

Instructor embeds text together with an instruction describing what the embedding is for, so one model serves retrieval, clustering and classification without fine-tuning for each. It solves the problem that a single fixed embedding cannot be optimal for several different tasks, and fine-tuning a copy per task is expensive and easy to get wrong. It exists because telling the model what kind of similarity you want is a cheap substitute for training it to want that.

Technology Graph

How Instructor connects to the rest of the stack.

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Comparisons

Side-by-side breakdowns with the alternatives above.