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A small reranker service using mixedbread.ai reranker model

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BreadRank

A small reranker API service powered by mixedbred.ai reranker model. It's currently using the mxbai-rerank-xsmall-v1 model.

Local Installation

pip install -r requirements.txt

Local Running

uvicorn main:app --host 0.0.0.0 --port 3007

Docker

docker build -t breadrank .
docker run -d -p 3007:3007 breadrank

Warning: The first run will be VERY slow to load

Visit http://localhost:3007/docs in a browser once it's loaded

Call it in python like this:

import requests
import json

# Define the URL of your FastAPI endpoint
url = "http://localhost:3007/rerank/"

# Define the data you want to send to the endpoint
query = "Your query here"
documents = ["Document 1", "Document 2", "Document 3"]
top_k = 2

data = {"query": query, "documents": documents, "top_k": top_k}

# Make the POST request
response = requests.post(url, json=data)

# Print the response
if response.status_code == 200:
    print(json.dumps(response.json(), indent=4))
else:
    print(f"Request failed with status code {response.status_code}")

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