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Multilingual Embeddings

Multilingual embeddings are vector representations that map semantically equivalent text from different languages into a shared high-dimensional coordinate space. In RAG pipelines, they enable cross-lingual information retrieval, allowing an agent to query a knowledge base in one language and retrieve relevant context stored in another.

Definition

Multilingual embeddings are vector representations that map semantically equivalent text from different languages into a shared high-dimensional coordinate space. In RAG pipelines, they enable cross-lingual information retrieval, allowing an agent to query a knowledge base in one language and retrieve relevant context stored in another.

Disambiguation

Semantic alignment in vector space rather than literal machine translation.

Visual Metaphor

"A universal library where books are shelved strictly by subject matter, regardless of the language they are written in."

Key Tools
Cohere Embed MultilingualOpenAI text-embedding-3Hugging Face (Sentence-Transformers)LaBSE (Language-Agnostic BERT Sentence Embedding)E5-multilingual
Related Connections

Conceptual Overview

Multilingual embeddings are vector representations that map semantically equivalent text from different languages into a shared high-dimensional coordinate space. In RAG pipelines, they enable cross-lingual information retrieval, allowing an agent to query a knowledge base in one language and retrieve relevant context stored in another.

Disambiguation

Semantic alignment in vector space rather than literal machine translation.

Visual Analog

A universal library where books are shelved strictly by subject matter, regardless of the language they are written in.

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