E5-Large-v2

About E5-Large-v2

E5 Large v2 is Microsoft's high-performance embedding model, designed for semantic search and retrieval applications. The model generates embeddings that capture semantic meaning effectively, achieving strong performance on retrieval benchmarks. E5 Large v2 features efficient architecture that enables practical deployment while maintaining competitive accuracy. Its open weights allow self-hosting and integration with existing infrastructure. The model works well with popular vector databases and RAG frameworks. For developers seeking capable open-source embedding AI, E5 Large v2 provides reliable semantic search foundation. It's particularly valuable for organizations preferring Microsoft's research-backed models with open availability.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with E5-Large-v2 API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="intfloat/e5-large-v2-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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