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mxbai-embed-large

High-quality embedding model

Overview

High-quality embedding model The model has 335M parameters. It is an open-weight model released under the Apache 2.0 licence.

Key Capabilities

Embeddings — suited for tasks requiring embeddings proficiency
Semantic Search — suited for tasks requiring semantic search proficiency
Clustering — suited for tasks requiring clustering proficiency

Recommended Use Cases

Rag
Semantic Search
Document Similarity

Technical Specifications

Context Window: 512 tokens
Parameters: 335M
Open Weight: Yes
Licence: Apache 2.0
Release Date: March 07, 2024

Provider

mxbai-embed-large is developed by Mixed Bread. For the latest information, visit the official documentation.