multi-qa-mpnet-base-dot-v1

About multi-qa-mpnet-base-dot-v1

Multi-QA-MPNet is Sentence Transformers' embedding model optimized for question-answering retrieval. The model excels at matching questions to relevant answers and documents. Multi-QA-MPNet demonstrates strong performance on QA retrieval benchmarks. It's particularly valuable for FAQ systems and knowledge base search. For developers building question-answering applications, Multi-QA-MPNet offers specialized retrieval capability.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with multi-qa-mpnet-base-dot-v1 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="sentence-transformers/multi-qa-mpnet-base-dot-v1-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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