Struct NeuralReranker

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pub struct NeuralReranker { /* private fields */ }

Expand description

Neural reranker using cross-encoder model

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impl NeuralReranker

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pub fn new() -> Result<Self>

Create a new neural reranker with the default Jina model

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pub fn with_model(model: RerankerModel) -> Result<Self>

Create a neural reranker with a specific model

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pub fn model_name(&self) -> &str

Get the model name

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pub fn rerank( &mut self, query: &str, documents: &[String], ) -> Result<Vec<(usize, f32)>>

Rerank documents given a query

Returns Vec of (original_index, rerank_score) sorted by score descending

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pub fn rerank_and_blend( &mut self, query: &str, documents: &[String], rrf_scores: &[f32], ) -> Result<Vec<(usize, f32)>>

Rerank and blend scores with existing RRF scores

Uses weighted blending: final_score = RERANK_WEIGHT * rerank_score + RRF_WEIGHT * rrf_score

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impl !UnwindSafe for NeuralReranker

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