Mxbai Rerank Large V2 API

from together import Together

client = Together()

query = "What animals can I find near Peru?"

documents = [
  "The giant panda (Ailuropoda melanoleuca), also known as the panda bear or simply panda, is a bear species endemic to China.",
  "The llama is a domesticated South American camelid, widely used as a meat and pack animal by Andean cultures since the pre-Columbian era.",
  "The wild Bactrian camel (Camelus ferus) is an endangered species of camel endemic to Northwest China and southwestern Mongolia.",
  "The guanaco is a camelid native to South America, closely related to the llama. Guanacos are one of two wild South American camelids; the other species is the vicuña, which lives at higher elevations.",
]

response = client.rerank.create(
  model="mixedbread-ai/Mxbai-Rerank-Large-V2",
  query=query,
  documents=documents,
  top_n=2
)

for result in response.results:
    print(f"Document Index: {result.index}")
    print(f"Document: {documents[result.index]}")
    print(f"Relevance Score: {result.relevance_score}")

import Together from "together-ai";

async function rankDocuments() {
    const together = new Together();

    const query = "What animals can I find near Peru?";

    const documents = [
        "The giant panda (Ailuropoda melanoleuca), also known as the panda bear or simply panda, is a bear species endemic to China.",
        "The llama is a domesticated South American camelid, widely used as a meat and pack animal by Andean cultures since the pre-Columbian era.",
        "The wild Bactrian camel (Camelus ferus) is an endangered species of camel endemic to Northwest China and southwestern Mongolia.",
        "The guanaco is a camelid native to South America, closely related to the llama. Guanacos are one of two wild South American camelids; the other species is the vicuña, which lives at higher elevations.",
    ];

    try {
        const response = await together.rerank({
            model: "mixedbread-ai/Mxbai-Rerank-Large-V2",
            query: query,
            documents: documents,
            top_n: 2
        });

        response.results.forEach(result => {
            console.log(`Document Index: ${result.index}`);
            console.log(`Document: ${documents[result.index]}`);
            console.log(`Relevance Score: ${result.relevance_score}`);
        });
    } catch (error) {
        console.error('Error:', error);
    }
}

rankDocuments();