Crate klieo_embed_common 

Shared Embedder trait + dummy/fake implementations for klieo memory backends.

Before W3.A17 the trait was duplicated byte-for-byte across klieo-memory-sqlite::embedder and klieo-memory-qdrant::embedder — any downstream embedder (Ollama, OpenAI, fastembed) had to impl Embedder twice. This crate is the single home; both memory crates re-export from here to keep their public APIs source-stable.

Features

• Default — Embedder trait + DummyEmbedder (zero vectors).
• test-utils — adds FakeEmbedder (deterministic per-text hashing) for downstream test harnesses.
• fastembed — adds FastEmbedEmbedder (fastembed-rs ONNX CPU embeddings). Heavy; pulls the ONNX runtime.

Structs

DummyEmbedder

Default embedder that returns zero vectors.

FakeEmbedder

Test-only embedder that hashes each input text into a deterministic vector. Identical texts produce identical embeddings, so cosine recall behaves predictably under test.

FastEmbedEmbedder

fastembed-rs–backed Embedder.

Constants

DEFAULT_DIM

Output dimension of DEFAULT_MODEL.

DEFAULT_MODEL

Default model: 384-dimensional AllMiniLML6V2.

Traits

Embedder

Compute embeddings for one or more texts.