lc-embeddings 0.11.0

Embedding model implementations for langchainrust — OpenAI, DeepSeek, Qwen, local/ONNX

Coverage
77.78%
35 out of 45 items documented0 out of 6 items with examples
Size
Source code size: 170.86 kB This is the summed size of all the files inside the crates.io package for this release.
Documentation size: 1.88 MB This is the summed size of all files generated by rustdoc for all configured targets
Ø build duration
this release: 27s Average build duration of successful builds.
all releases: 25s Average build duration of successful builds in releases after 2024-10-23.
Links
atliliw/langchainrust
13 2 0
crates.io
Dependencies
Versions
Owners

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