bge-large-en-v1.5

About bge-large-en-v1.5

BGE Large English v1.5 is BAAI's high-performance open-source embedding model, achieving competitive results with proprietary alternatives. The model generates 1024-dimensional embeddings that capture semantic meaning effectively, enabling accurate retrieval and similarity matching. BGE Large demonstrates strong performance on MTEB benchmarks, often matching or exceeding commercial embedding models. Its open weights enable self-hosting without API costs, appealing to organizations with data privacy requirements or high-volume needs. The model integrates well with popular vector databases and RAG frameworks. For developers seeking capable embedding AI without ongoing API costs, BGE Large provides excellent open-source alternative. It's particularly valuable for enterprise deployments requiring on-premise embedding capability.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with bge-large-en-v1.5 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="baai/bge-large-en-v1.5-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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