rerank-documents
Optimize document search results by reranking a set of documents based on a specific query using advanced models like Cohere, BGE, or Pinecone. Ideal for improving relevance in enterprise search applications.
Instructions
Rerank a set of documents based on a query
Input Schema
Name | Required | Description | Default |
---|---|---|---|
documents | Yes | A set of documents to rerank. Can either be an array of text documents (strings) or an array of records. | |
model | Yes | 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). | |
options | No | ||
query | Yes | The query to rerank documents against. |
Input Schema (JSON Schema)
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