Qdrant · Schema
Mmr
Maximal Marginal Relevance (MMR) algorithm for re-ranking the points.
AIArtificial IntelligenceVector Databases
Properties
| Name | Type | Description |
|---|---|---|
| diversity | number | Tunable parameter for the MMR algorithm. Determines the balance between diversity and relevance. A higher value favors diversity (dissimilarity to selected results), while a lower value favors relevan |
| candidates_limit | integer | The maximum number of candidates to consider for re-ranking. If not specified, the `limit` value is used. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/Mmr",
"title": "Mmr",
"description": "Maximal Marginal Relevance (MMR) algorithm for re-ranking the points.",
"type": "object",
"properties": {
"diversity": {
"description": "Tunable parameter for the MMR algorithm. Determines the balance between diversity and relevance.\n\nA higher value favors diversity (dissimilarity to selected results), while a lower value favors relevance (similarity to the query vector).\n\nMust be in the range [0, 1]. Default value is 0.5.",
"type": "number",
"format": "float",
"maximum": 1,
"minimum": 0,
"nullable": true
},
"candidates_limit": {
"description": "The maximum number of candidates to consider for re-ranking.\n\nIf not specified, the `limit` value is used.",
"type": "integer",
"format": "uint",
"maximum": 16384,
"minimum": 0,
"nullable": true
}
}
}