Weaviate · Schema

BM25Config

Tuning parameters for the BM25 algorithm.

Vector DatabaseAIMachine 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).

View JSON Schema on GitHub

JSON Schema

{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/BM25Config",
  "title": "BM25Config",
  "type": "object",
  "description": "Tuning parameters for the BM25 algorithm.",
  "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)."
    }
  }
}