Reranker Node
Overview
The Reranker Node optimizes document retrieval by reordering a set of documents based on their relevance to a specific query. It uses specialized reranking models to improve the accuracy and relevance of search results by considering semantic similarity and contextual information.
Usage cost: 1 credit
Configuration
Settings
Model Selection
Reranker Model*: Select the reranking model to use
Top K: Number of documents to return after reranking (default: 3)
Query*: The search query used to rerank documents
Documents*: List of documents to be reranked
Output Ports
reranked_documents
(Document[]): Array of reranked documents ordered by relevance
Best Practices
Document Preparation
Keep document segments concise and focused
Ensure documents contain meaningful content
Remove duplicate or near-duplicate content
Query Optimization
Use specific, targeted queries
Include key terms and concepts
Consider query expansion when needed
Use consistent query formatting
Performance Tuning
Adjust Top K based on use case requirements
Consider document batch size
Integration Tips
Place after retrieval nodes
Connect to document transformation nodes when needed
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