Module fastembed_embedder 

FastEmbed-based ML embedders.

Loads local ONNX model + tokenizer bundles and produces semantic embeddings. This implementation never downloads model assets; it expects the model files to be present on disk and returns a clear error when they are missing.

Supports multiple models:

• MiniLM (baseline)
• EmbeddingGemma (bake-off candidate)
• Qwen3-Embedding (bake-off candidate)
• ModernBERT-embed (bake-off candidate)
• Snowflake Arctic Embed (bake-off candidate)
• Nomic Embed Text (bake-off candidate)

Structs

FastEmbedder

FastEmbed-backed semantic embedder.

OnnxEmbedderConfig

Configuration for loading an ONNX embedder.

Constants

MODEL_ONNX_LEGACY

MODEL_ONNX_SUBDIR