cli: embed docstring template (#24855)

pull/24944/head^2
Erick Friis 2 months ago committed by GitHub
parent 4b2a8ce6c7
commit 99eb31ec41
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@ -4,14 +4,70 @@ from langchain_core.embeddings import Embeddings
class __ModuleName__Embeddings(Embeddings):
"""__ModuleName__Embeddings embedding model.
"""__ModuleName__ embedding model integration.
Example:
# TODO: Replace with relevant packages, env vars.
Setup:
Install ``__package_name__`` and set environment variable ``__MODULE_NAME___API_KEY``.
.. code-block:: bash
pip install -U __package_name__
export __MODULE_NAME___API_KEY="your-api-key"
# TODO: Populate with relevant params.
Key init args completion params:
model: str
Name of __ModuleName__ model to use.
See full list of supported init args and their descriptions in the params section.
# TODO: Replace with relevant init params.
Instantiate:
.. code-block:: python
from __module_name__ import __ModuleName__Embeddings
model = __ModuleName__Embeddings()
embed = __ModuleName__Embeddings(
model="...",
# api_key="...",
# other params...
)
Embed single text:
.. code-block:: python
input_text = "The meaning of life is 42"
embed.embed_query(input_text)
.. code-block:: python
# TODO: Example output.
# TODO: Delete if token-level streaming isn't supported.
Embed multiple text:
.. code-block:: python
input_texts = ["Document 1...", "Document 2..."]
embed.embed_documents(input_texts)
.. code-block:: python
# TODO: Example output.
# TODO: Delete if native async isn't supported.
Async:
.. code-block:: python
await embed.aembed_query(input_text)
# multiple:
# await embed.aembed_documents(input_texts)
.. code-block:: python
# TODO: Example output.
"""
def embed_documents(self, texts: List[str]) -> List[List[float]]:

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