01
97.0
text-embedding-3-large
OpenAIState-of-the-art general-purpose embeddings for broad semantic understanding.
High accuracy across diverse tasksExcellent for general semantic searchSupports dimensionality reduction
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02
95.0
e5-large-v2
Microsoft/NYURobust and efficient embeddings with strong retrieval capabilities.
Excellent retrieval performanceOpen-source and widely accessibleGood balance of speed and accuracy
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93.0
all-mpnet-base-v2
Sentence-TransformersA versatile and efficient embedding model for sentence and passage similarity.
Fast inference speedBroad applicabilityGood performance on STS benchmarks
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04
96.0
claude-3-opus-20240229
AnthropicLeading multimodal model with strong reasoning and embedding capabilities.
Exceptional reasoning abilityStrong performance on complex tasksMultimodal understanding (text/image)
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92.0
instructor-xl
AI2 / StripeTask-specific embeddings for enhanced control and performance.
Instruction-based embedding generationHigh performance on specific tasksReduces need for fine-tuning
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06
94.0
Cohere Embed v3
CohereHigh-performance embeddings optimized for retrieval and semantic search.
Excellent retrieval accuracySupports multiple languagesOptimized for RAG and search
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91.0
bge-large-en-v1.5
BAAIStrong open-source embeddings for retrieval and semantic search.
Top performance on MTEB benchmarksEfficient for its sizeOpen source
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92.0
Voyage Large
Voyage AIHigh-performance embeddings for complex retrieval tasks.
Optimized for RAG and dense retrievalStrong conceptual understandingScalable infrastructure
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88.0
MiniLMv2-L6-B30
Microsoft / HuggingFaceCompact and efficient embeddings for resource-constrained environments.
Small model sizeFast inferenceGood performance for its size
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90.0
GTE-Large
Helsinki-NLPGeneral-purpose embeddings with strong performance on retrieval tasks.
Good balance of performance and sizeOpen-source and accessibleEffective for semantic search
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