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Integrate Cohere’s powerful reranking API with LanceDB for enhanced search results. Supports English and multilingual models with configurable scoring options for vector, FTS, and hybrid search.
CohereReranker() to the rerank() method. Note that you’ll either need to set the COHERE_API_KEY environment variable or pass the api_key argument to use this reranker.
Note: Supported query types – Hybrid, Vector, and FTS.
pip install cohere
| Argument | Type | Default | Description |
|---|---|---|---|
model_name | str | "rerank-english-v2.0" | The name of the reranker model to use. Available cohere models are: rerank-english-v2.0, rerank-multilingual-v2.0 |
column | str | "text" | The name of the column to use as input to the cross encoder model. |
top_n | str | None | The number of results to return. If None, will return all results. |
api_key | str | None | The API key for the Cohere API. If not provided, the COHERE_API_KEY environment variable is used. |
return_score | str | "relevance" | Options are “relevance” or “all”. The type of score to return. If “relevance”, will return only the `_relevance_score. If “all” is supported, will return relevance score along with the vector and/or fts scores depending on query type |
return_score | Status | Description |
|---|---|---|
relevance | ✅ Supported | Results only have the _relevance_score column |
all | ❌ Not Supported | Results have vector(_distance) and FTS(score) along with Hybrid Search score(_relevance_score) |
return_score | Status | Description |
|---|---|---|
relevance | ✅ Supported | Results only have the _relevance_score column |
all | ✅ Supported | Results have vector(_distance) along with Hybrid Search score(_relevance_score) |
return_score | Status | Description |
|---|---|---|
relevance | ✅ Supported | Results only have the _relevance_score column |
all | ✅ Supported | Results have FTS(score) along with Hybrid Search score(_relevance_score) |
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