Overview
About this model
bge-reranker-v2-m3，Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding. You can get a relevance score by inputting query and passage to the reranker. And the score can be mapped to a float value in [0,1] by sigmoid function.
Specifications
Model details
- Provider
- BAAI
- Modality
- Reranker
- Pricing
- $0.03 / 1M
API
Call it in code
One OpenAI-compatible API. Swap the model id and you're done.
from openai import OpenAI
client = OpenAI(
base_url="https://api.ecohash.com/v1",
api_key="YOUR_API_KEY",
)
ranked = client.rerank.create(
model="bge-reranker-v2-m3",
query="What is EcoHash?",
documents=["...", "..."],
)