Crate lc_embeddings 

Embedding model implementations for LangChainRust.

Provides embedding generation via multiple backends:

• OpenAI (text-embedding-ada-002, text-embedding-3-small/large)
• DeepSeek
• Qwen (Alibaba Cloud / DashScope)
• Local: BagOfWordsEmbeddings (always available) and LocalEmbeddings (ONNX, feature-gated)
• MockEmbeddings for testing

Modules

openai_compat

Shared base class for OpenAI-compatible-protocol embedding clients (P1-5).

Structs

BagOfWordsEmbeddings

Lightweight local embedding (word-frequency hash + L2 normalization)

CohereEmbeddings

Cohere embedding provider.

CohereEmbeddingsConfig

Cohere embedding configuration.

DeepSeekEmbeddingsConfig

Configuration for DeepSeek embeddings API.

MockEmbeddings

Mock embeddings for testing purposes.

OpenAIEmbeddings

OpenAI Embeddings client

OpenAIEmbeddingsConfig

OpenAI Embeddings configuration

QwenEmbeddingsConfig

Configuration for Qwen embeddings API.

Enums

CohereEmbedInputType

Cohere embedding input type.

EmbeddingError

Embedding error type

Constants

COHERE_EMBED_BASE_URL

Cohere API base URL.

COHERE_EMBED_MODEL

Default Cohere embedding model.

DEEPSEEK_EMBED_MODEL

Default embedding model for DeepSeek.

QWEN_EMBED_MODEL

Default embedding model for Qwen.

Traits

Embeddings

Embedding model trait

Functions

cosine_similarity

Compute cosine similarity between two vectors.

l2_normalize

In-place L2 normalization: scale vec to unit length.

Type Aliases

DeepSeekEmbeddings

DeepSeek embeddings client for generating vector embeddings.

QwenEmbeddings

Qwen embeddings client for generating vector embeddings.