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Pinecone Developer MCP

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by pinecone-io
rerank-model.ts695 B
import {z} from 'zod'; export const RERANK_MODEL_SCHEMA = z.enum([ 'cohere-rerank-3.5', 'bge-reranker-v2-m3', 'pinecone-rerank-v0', ]).describe(`Choose a reranking model: - "cohere-rerank-3.5" is Cohere's leading reranking model, balancing performance and latency for a wide range of enterprise search applications. - "bge-reranker-v2-m3" is a high-performance, multilingual reranking model that works well on messy data and short queries expected to return medium-length passages of text (1-2 paragraphs). - "pinecone-rerank-v0" is a state of the art reranking model that out-performs competitors on widely accepted benchmarks. It can handle chunks up to 512 tokens (1-2 paragraphs).`);

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