mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
35 lines
1023 B
Python
35 lines
1023 B
Python
|
"""Test octoai embeddings."""
|
||
|
|
||
|
from langchain.embeddings.octoai_embeddings import (
|
||
|
OctoAIEmbeddings,
|
||
|
)
|
||
|
|
||
|
|
||
|
def test_octoai_embedding_documents() -> None:
|
||
|
"""Test octoai embeddings."""
|
||
|
documents = ["foo bar"]
|
||
|
embedding = OctoAIEmbeddings(
|
||
|
endpoint_url="<endpoint_url>",
|
||
|
octoai_api_token="<octoai_api_token>",
|
||
|
embed_instruction="Represent this input: ",
|
||
|
query_instruction="Represent this input: ",
|
||
|
model_kwargs=None,
|
||
|
)
|
||
|
output = embedding.embed_documents(documents)
|
||
|
assert len(output) == 1
|
||
|
assert len(output[0]) == 768
|
||
|
|
||
|
|
||
|
def test_octoai_embedding_query() -> None:
|
||
|
"""Test octoai embeddings."""
|
||
|
document = "foo bar"
|
||
|
embedding = OctoAIEmbeddings(
|
||
|
endpoint_url="<endpoint_url>",
|
||
|
octoai_api_token="<octoai_api_token>",
|
||
|
embed_instruction="Represent this input: ",
|
||
|
query_instruction="Represent this input: ",
|
||
|
model_kwargs=None,
|
||
|
)
|
||
|
output = embedding.embed_query(document)
|
||
|
assert len(output) == 768
|