Weaviate · JSON Structure

Weaviate Bm25 Config Structure

Tuning parameters for the BM25 algorithm.

Type: object Properties: 2
Vector DatabaseAIMachine LearningSemantic SearchOpen SourceGraphQLKubernetes

Weaviate Bm25 Config Structure is a JSON Structure definition published by Weaviate, describing 2 properties. It conforms to the https://json-structure.org/meta/extended/v0/# meta-schema.

Properties

k1 b

Meta-schema: https://json-structure.org/meta/extended/v0/#

JSON Structure

Raw ↑ 
{
  "$schema": "https://json-structure.org/meta/extended/v0/#",
  "$id": "https://api-evangelist.github.io/weaviate/json-structure/weaviate-bm25-config-structure.json",
  "title": "BM25Config",
  "description": "Tuning parameters for the BM25 algorithm.",
  "type": "object",
  "properties": {
    "k1": {
      "type": "float32",
      "description": "Calibrates term-weight scaling based on the term frequency within a document (default: 1.2)."
    },
    "b": {
      "type": "float32",
      "description": "Calibrates term-weight scaling based on the document length (default: 0.75)."
    }
  }
}