Rerank API (v2)

import cohere
co = cohere.ClientV2()
docs = [
    "Carson City is the capital city of the American state of Nevada.",
    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean. Its capital is Saipan.",
    "Capitalization or capitalisation in English grammar is the use of a capital letter at the start of a word. English usage varies from capitalization in other languages.",
    "Washington, D.C. (also known as simply Washington or D.C., and officially as the District of Columbia) is the capital of the United States. It is a federal district.",
    "Capital punishment has existed in the United States since beforethe United States was a country. As of 2017, capital punishment is legal in 30 of the 50 states.",
]
response = co.rerank(
    model="rerank-v4.0-pro",
    query="What is the capital of the United States?",
    documents=docs,
    top_n=3,
)
print(response)

{
  "results": [
    {
      "index": 3,
      "relevance_score": 0.999071
    },
    {
      "index": 4,
      "relevance_score": 0.7867867
    },
    {
      "index": 0,
      "relevance_score": 0.32713068
    }
  ],
  "id": "07734bd2-2473-4f07-94e1-0d9f0e6843cf",
  "meta": {
    "api_version": {
      "version": "2",
      "is_experimental": false
    },
    "billed_units": {
      "search_units": 1
    }
  }
}

This endpoint takes in a query and a list of texts and produces an ordered array with each text assigned a relevance score.

Authentication

AuthorizationBearer

Bearer authentication of the form Bearer <token>, where token is your auth token.

Request

modelstringRequired

The identifier of the model to use, eg rerank-v3.5.

querystringRequired

The search query

documentslist of stringsRequired

A list of texts that will be compared to the query. For optimal performance we recommend against sending more than 1,000 documents in a single request.

Note: long documents will automatically be truncated to the value of max_tokens_per_doc.

Note: structured data should be formatted as YAML strings for best performance.

A list of texts that will be compared to the `query`. For optimal performance we recommend against sending more than 1,000 documents in a single request. **Note**: long documents will automatically be truncated to the value of `max_tokens_per_doc`. **Note**: structured data should be formatted as YAML strings for best performance.

top_nintegerOptional>=1

Limits the number of returned rerank results to the specified value. If not passed, all the rerank results will be returned.

max_tokens_per_docintegerOptional

Defaults to 4096. Long documents will be automatically truncated to the specified number of tokens.

priorityintegerOptional0-999Defaults to 0

Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped.

Response

resultslist of objects

An ordered list of ranked documents

idstring

metaobject

Errors

400

Bad Request Error

401

Unauthorized Error

403

Forbidden Error

404

Not Found Error

422

Unprocessable Entity Error

429

Too Many Requests Error

498

Invalid Token Error

499

Client Closed Request Error

500

Internal Server Error

501

Not Implemented Error

503

Service Unavailable Error

504

Gateway Timeout Error

Authentication

Headers

Request

Response

Errors