节点与集成
Reranker Cohere
The Reranker Cohere node allows you to rerank1 the resulting chunks from a vector store2. You can connect this node to a vector store.
The reranker reorders the list of documents retrieved from a vector store for a given query in order of descending relevance.
On this page, you'll find the node parameters for the Reranker Cohere node, and links to more resources.
Node parameters
Model
Choose the reranking model to use. You can find out more about the available models in Cohere's model documentation.
Templates and examples
Browse Reranker Cohere integration templates or search all templates
Related resources
View n8n's Advanced AI documentation.
Footnotes
- Back
Reranking is a technique that refines the order of a list of candidate documents to improve the relevance of search results. Retrieval-Augmented Generation (RAG) and other applications use reranking to prioritize the most relevant information for generation or downstream tasks.
- Back
A vector store, or vector database, stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.
官方原文和授权
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