Embed v3 (English)

Model Overview

Embed v3 (English), formally known as embed-english-v3.0, is Cohere's state-of-the-art embedding model released in November 2023. It is designed to deliver noise-resistant retrieval and is highly optimized for search engines and Retrieval-Augmented Generation (RAG) applications. It is the first Cohere model to offer native compression with support for binary and int8 embeddings, reducing storage requirements and latency while preserving retrieval quality.

Capabilities

Embed v3 evaluates how well a document matches a query based on topic and relevance, rather than just semantic similarity. It is uniquely optimized for real-world, noisy retrieval data. The model offers advanced support for multi-stage search architectures and integrates natively with major vector databases.

Example Use Cases

• Retrieval-Augmented Generation (RAG): Enhancing generative AI applications by providing highly relevant and accurate contextual information retrieved from large, noisy enterprise knowledge bases.
• Semantic Search Engines: Powering search functions that require deep semantic understanding rather than simple keyword matching.
• Vector Database Integration: Efficiently storing and querying large datasets using its native binary/int8 compression capabilities.

Performance & Benchmarks

Embed v3 is a highly performant embedding model, achieving a verified score of 64.0% on the comprehensive MTEB (Massive Text Embedding Benchmark). Its design significantly improves retrieval accuracy over previous generations, especially in environments cluttered with irrelevant information.

Intended Use & Limitations

Embed v3 is intended for developers building RAG systems and semantic search applications who require a scalable, API-only solution. The model is specifically tuned for the English language and operates with a context window of 512 tokens, meaning longer documents must be appropriately chunked prior to embedding.

About Cohere

Cohere is a leading AI company focused on providing enterprise-grade language models. They specialize in generative AI, embeddings, and retrieval solutions designed to integrate smoothly into business applications via their developer platform and major cloud providers.