OpenAPI Specification
openapi: 3.0.3
info:
title: Jina AI Embeddings Batch Reranker API
description: Generate high-quality multimodal embeddings for text, image, and code inputs using Jina AI's state-of-the-art embedding models. Supports synchronous embedding requests and batch jobs for large workloads.
version: '1.0'
contact:
name: Jina AI
url: https://jina.ai
servers:
- url: https://api.jina.ai/v1
description: Jina AI production API
security:
- BearerAuth: []
tags:
- name: Reranker
description: Cross-encoder reranking
paths:
/rerank:
post:
tags:
- Reranker
summary: Rerank documents against a query
description: Score and reorder a set of candidate documents by relevance to the provided query, optionally returning the top N results.
operationId: rerank
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/RerankRequest'
responses:
'200':
description: Reranked results
content:
application/json:
schema:
$ref: '#/components/schemas/RerankResponse'
'401':
description: Unauthorized
'429':
description: Rate limit exceeded
components:
schemas:
RerankRequest:
type: object
required:
- model
- query
- documents
properties:
model:
type: string
enum:
- jina-reranker-v3
- jina-reranker-v2-base-multilingual
- jina-colbert-v2
- jina-reranker-m0
query:
type: string
description: Search query
documents:
type: array
description: Candidate documents to rerank
items:
oneOf:
- type: string
- type: object
properties:
text:
type: string
image:
type: string
top_n:
type: integer
description: Maximum number of results to return
return_documents:
type: boolean
description: Whether to include document content in response
RerankResponse:
type: object
properties:
model:
type: string
usage:
type: object
properties:
total_tokens:
type: integer
results:
type: array
items:
type: object
properties:
index:
type: integer
relevance_score:
type: number
format: float
document:
type: object
properties:
text:
type: string
securitySchemes:
BearerAuth:
type: http
scheme: bearer
bearerFormat: API Key