pinecone-rerank-v0 - Pinecone Docs

pinecone-rerank-v0 is deprecated. It still serves rerank requests, but don’t use it for new projects. Use another reranking model instead.

Overview

The model is optimized for precision in RAG reranking tasks It assigns a relevance score from 0 to 1 for each query-document pair, with higher scores indicating a stronger match. To maintain accuracy, we’ve set the model’s maximum context length to 512 tokens — an optimal limit for preserving ranking quality in reranking tasks.

Inputs, limits, and pricing

Input	Limits	Price
Text	512 tokens per query and document pair, 100 documents per request	$2.00 per 1k requests

Monthly and per-minute limits depend on your plan. See Rate limits.

Quickstart

Installation

pip install -U pinecone

Rerank

from pinecone import Pinecone

pc = Pinecone("API-KEY")

query = "Tell me about Apple's products"
results = pc.inference.rerank(
    model="pinecone-rerank-v0",
    query=query,
    documents=[
"Apple is a popular fruit known for its sweetness and crisp texture.",	
"Apple is known for its innovative products like the iPhone.",
"Many people enjoy eating apples as a healthy snack.",
"Apple Inc. has revolutionized the tech industry with its sleek designs and user-friendly interfaces.",
"An apple a day keeps the doctor away, as the saying goes.",
    ],
    top_n=3,
    return_documents=True,
    parameters= {
        "truncate": "END"
    }
)

print(query)
for r in results.data:
  print(r.score, r.document["text"])

Parameters

Set rank_fields on the rerank request itself, and set the other parameters in its parameters object. This applies to both standalone reranking and integrated reranking.

Parameter	Type	Required/Optional	Description	Default
`truncate`	string	Optional	How to handle inputs longer than those supported by the model. Accepted values: `END` or `NONE`. `END` truncates the input sequence at the input token limit. `NONE` returns an error when the input exceeds the input token limit.	`END`
`rank_fields`	array of strings	Optional	The field to use for reranking. The model supports only a single rerank field.	`["text"]`

​Overview

​Inputs, limits, and pricing

​Quickstart

​Installation

​Rerank

​Parameters

Overview

Inputs, limits, and pricing

Quickstart

Installation

Rerank

Parameters