Linear Combination Reranker
Note: This reranker is deprecated. Use the RRFReranker if you need a score-based reranker.
The Linear Combination Reranker combines the results of semantic and full-text search using a linear combination of the scores. The weights for the linear combination can be specified, and defaults to 0.7, i.e, 70% weight for semantic search and 30% weight for full-text search.
Note: Supported query type – Hybrid search only.
Accepted Arguments
| Argument | Type | Default | Description |
|---|---|---|---|
weight | float | 0.7 | The weight to use for the semantic search score. The weight for the full-text search score is 1 - weights. |
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”, will return all scores from the vector and FTS search along with the relevance score. |
Supported Scores for each query type
You can specify the type of scores you want the reranker to return. The following are the supported scores for each query type:Hybrid Search
return_score | Status | Description |
|---|---|---|
relevance | ✅ Supported | Results only have the _relevance_score column |
all | ✅ Supported | Results have vector(_distance) and FTS(score) along with Hybrid Search score(_distance) |