Struct SchemaBuilder 

pub struct SchemaBuilder { /* private fields */ }

Builder for Schema

Implementations

impl SchemaBuilder

pub fn add_text_field( &mut self, name: &str, indexed: bool, stored: bool, ) -> Field

pub fn add_text_field_with_tokenizer( &mut self, name: &str, indexed: bool, stored: bool, tokenizer: &str, ) -> Field

pub fn add_u64_field( &mut self, name: &str, indexed: bool, stored: bool, ) -> Field

pub fn add_i64_field( &mut self, name: &str, indexed: bool, stored: bool, ) -> Field

pub fn add_f64_field( &mut self, name: &str, indexed: bool, stored: bool, ) -> Field

pub fn add_bytes_field(&mut self, name: &str, stored: bool) -> Field

pub fn add_sparse_vector_field( &mut self, name: &str, indexed: bool, stored: bool, ) -> Field

Add a sparse vector field with default configuration

Sparse vectors are indexed as inverted posting lists where each dimension becomes a “term” and documents have quantized weights for each dimension.

pub fn add_sparse_vector_field_with_config( &mut self, name: &str, indexed: bool, stored: bool, config: SparseVectorConfig, ) -> Field

Add a sparse vector field with custom configuration

Use SparseVectorConfig::splade() for SPLADE models (u16 indices, uint8 weights). Use SparseVectorConfig::compact() for maximum compression (u16 indices, uint4 weights).

pub fn set_sparse_vector_config( &mut self, field: Field, config: SparseVectorConfig, )

Set sparse vector configuration for an existing field

pub fn set_multi(&mut self, field: Field, multi: bool)

Set the multi attribute on the last added field

pub fn set_default_fields(&mut self, field_names: Vec<String>)

Set default fields by name

pub fn set_query_routers(&mut self, rules: Vec<QueryRouterRule>)

Set query router rules

pub fn build(self) -> Schema

Trait Implementations

impl Debug for SchemaBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SchemaBuilder

fn default() -> SchemaBuilder

Returns the “default value” for a type.