rerank()

Rerank a set of documents based on their relevance to a query using a reranking model.

This is ideal for improving search relevance by reordering documents, emails, or other content based on semantic understanding of the query and documents.

import { cohere } from '@ai-sdk/cohere';
import { rerank } from 'ai';
const { ranking } = await rerank({
model: cohere.reranking('rerank-v3.5'),
documents: ['sunny day at the beach', 'rainy afternoon in the city'],
query: 'talk about rain',
});

Import

import { rerank } from "ai"

API Signature

Parameters

model:

RerankingModel

documents:

Array<VALUE>

query:

string

topN?:

number

maxRetries?:

number

abortSignal?:

AbortSignal

headers?:

Record<string, string>

providerOptions?:

ProviderOptions

experimental_telemetry?:

TelemetrySettings
TelemetrySettings

isEnabled?:

boolean

recordInputs?:

boolean

recordOutputs?:

boolean

functionId?:

string

metadata?:

Record<string, string | number | boolean | Array<null | undefined | string> | Array<null | undefined | number> | Array<null | undefined | boolean>>

tracer?:

Tracer

Returns

originalDocuments:

Array<VALUE>

rerankedDocuments:

Array<VALUE>

ranking:

Array<RankingItem<VALUE>>
RankingItem<VALUE>

originalIndex:

number

score:

number

document:

VALUE

response:

Response
Response

id?:

string

timestamp:

Date

modelId:

string

headers?:

Record<string, string>

body?:

unknown

providerMetadata?:

ProviderMetadata | undefined

Examples

String Documents

import { cohere } from '@ai-sdk/cohere';
import { rerank } from 'ai';
const { ranking, rerankedDocuments } = await rerank({
model: cohere.reranking('rerank-v3.5'),
documents: [
'sunny day at the beach',
'rainy afternoon in the city',
'snowy night in the mountains',
],
query: 'talk about rain',
topN: 2,
});
console.log(rerankedDocuments);
// ['rainy afternoon in the city', 'sunny day at the beach']
console.log(ranking);
// [
// { originalIndex: 1, score: 0.9, document: 'rainy afternoon...' },
// { originalIndex: 0, score: 0.3, document: 'sunny day...' }
// ]

Object Documents

import { cohere } from '@ai-sdk/cohere';
import { rerank } from 'ai';
const documents = [
{
from: 'Paul Doe',
subject: 'Follow-up',
text: 'We are happy to give you a discount of 20%.',
},
{
from: 'John McGill',
subject: 'Missing Info',
text: 'Here is the pricing from Oracle: $5000/month',
},
];
const { ranking } = await rerank({
model: cohere.reranking('rerank-v3.5'),
documents,
query: 'Which pricing did we get from Oracle?',
topN: 1,
});
console.log(ranking[0].document);
// { from: 'John McGill', subject: 'Missing Info', ... }

With Provider Options

import { cohere } from '@ai-sdk/cohere';
import { rerank } from 'ai';
const { ranking } = await rerank({
model: cohere.reranking('rerank-v3.5'),
documents: ['sunny day at the beach', 'rainy afternoon in the city'],
query: 'talk about rain',
providerOptions: {
cohere: {
maxTokensPerDoc: 1000,
},
},
});