Weaviate · Schema
BM25Config
Tuning parameters for the BM25 algorithm.
Vector DatabaseArtificial IntelligenceMachine-LearningSemantic SearchOpen-SourceGraphQLKubernetes
Properties
| Name | Type | Description |
|---|---|---|
| k1 | number | Calibrates term-weight scaling based on the term frequency within a document (default: 1.2). |
| b | number | Calibrates term-weight scaling based on the document length (default: 0.75). |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://api-evangelist.github.io/weaviate/json-schema/weaviate-bm25-config-schema.json",
"title": "BM25Config",
"description": "Tuning parameters for the BM25 algorithm.",
"type": "object",
"properties": {
"k1": {
"type": "number",
"format": "float",
"description": "Calibrates term-weight scaling based on the term frequency within a document (default: 1.2)."
},
"b": {
"type": "number",
"format": "float",
"description": "Calibrates term-weight scaling based on the document length (default: 0.75)."
}
}
}
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