Struct MemoryDocumentStore 

pub struct MemoryDocumentStore { /* private fields */ }

Implementations

impl MemoryDocumentStore

pub fn new( dimensions: usize, embedding_dimensions: Option<usize>, ) -> Result<Self>

dimensions is the sparse text-vector dimension; embedding_dimensions enables caller-supplied dense embeddings for semantic and hybrid search.

pub fn dimensions(&self) -> usize

pub fn embedding_dimensions(&self) -> Option<usize>

pub fn memorize(&mut self, input: DocumentInput) -> Result<u32>

Stores or replaces a document and returns its chunk count.

pub fn memorize_many(&mut self, inputs: Vec<DocumentInput>) -> Result<Vec<u32>>

Stores or replaces several documents; either all are stored or none is.

pub fn search( &self, text: &str, options: &SearchOptions, ) -> Result<Vec<DocumentResult>>

pub fn delete(&mut self, id: &str) -> bool

Removes a document; returns whether it existed.

pub fn contains(&self, id: &str) -> bool

pub fn train_index(&mut self) -> Result<bool>

Builds the dense index over the stored embeddings. A store with no embedding space or too few embedded chunks is left as it is; returns whether an index is now current.

pub fn index_trained(&self) -> bool

pub fn stats(&self) -> MemoryStoreStats

pub fn ids(&self) -> Vec<String>

Ids of every stored document, sorted.

pub fn export(&self) -> Result<Vec<u8>>

Serializes the store: a checksummed header and an LZ4-compressed JSON payload.

pub fn import(bytes: &[u8]) -> Result<Self>

Restores a store written by MemoryDocumentStore::export. The bytes are validated (magic, version, bounded length, checksum, per-document shape) before any is used.