vectors
#
Classes#
VectorisedGraph#
VectorisedGraph object that contains embedded documents that correspond to graph entities.
Document#
A document corresponding to a graph entity. Used to generate embeddings.
Embedding#
VectorSelection#
OpenAIEmbeddings#
OpenAI-compatible embedding configuration. Pass an instance of this to
VectorCache(...) to drive vectorise(...).
VectorCache#
Cache wrapping an embedding model. Pass to Graph.vectorise(model=...)
or other vectorisation entry points.
EmbeddingServer#
RunningEmbeddingServer#
Functions#
embedding_server(function)
#
Wrap a Python callable so it can be served as an OpenAI-compatible
embedding endpoint via EmbeddingServer.serve(...).
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
function
|
Callable[[str], list[float]]
|
A callable that maps a text input to its embedding vector. |
required |
Returns:
| Type | Description |
|---|---|
EmbeddingServer
|
|