Module embedder 

Embedding trait and implementations.

Provides the Embedder trait for text-to-vector conversion, with [CandleEmbedder] (default, in-process pure-Rust), OllamaEmbedder (external Ollama server), and MockEmbedder (testing).

Structs

BgeM3DeriveConfig

Configuration for deriving sparse and multi-vec representations from dense embeddings when the backend (Ollama) does not natively expose them.

BgeM3Embedder

BGE-M3 multi-function embedder via Ollama.

MockEmbedder

Deterministic embedder for unit tests.

MultiFunctionEmbedding

Result of a single multi-function embedding call containing all three representations produced from one model invocation.

MultiVectorEmbedding

ColBERT-style multi-vector representation (per-token embeddings).

OllamaEmbedder

Embedding provider that calls Ollama’s /api/embed endpoint.

SparseWeights

Sparse weight representation for generic or model-native sparse retrieval.

Traits

Embedder

Trait for embedding text into vectors.

MultiFunctionEmbedder

Trait for embedders that produce multiple representations from a single model call: dense, sparse, and multi-vector.

Type Aliases

EmbedBatchFuture

Boxed future type alias for batch embedding results.

EmbedFuture

Boxed future type alias for single embedding results.

MultiEmbedBatchFuture

Boxed future type alias for batch multi-function embedding results.

MultiEmbedFuture

Boxed future type alias for single multi-function embedding results.

OptionalMultiEmbedBatchFuture

Boxed future type alias for optional batched multi-function output.

OptionalMultiEmbedFuture

Boxed future type alias for an embedder’s optional multi-function output.