Comments (1)
I am not a developer, but I would like to comment (I am still learning English, so some of the expressions may be difficult to understand).
The AzureOpenAIEmbeddings
implemented in langchain_openai
is configured to read the following environment variables.
- AZURE_OPENAI_API_KEY
- AZURE_OPENAI_ENDPOINT
- OPENAI_API_VERSION
For this reason, you will need to rewrite your .env
as follows.
AZURE_OPENAI_DEPLOYMENT_NAME=chat
AZURE_OPENAI_API_KEY="XXXXXXXXXXXX"
AZURE_OPENAI_ENDPOINT="https://XXXXXXXXX.openai.azure.com/"
OPENAI_API_VERSION="2024-03-01-preview"
POSTGRES_PORT=5432
POSTGRES_DB=postgres
POSTGRES_USER=postgres
POSTGRES_PASSWORD=postgres
Or you can specify the following arguments when calling AzureOpenAIEmbedding
.
import os
from langchain_openai import AzureOpenAIEmbeddings
# skip ...
vstore = PGVector(
connection_string=PG_CONNECTION_STRING,
embedding_function=AzureOpenAIEmbeddings(
openai_api_key=os.getenv('AZURE_OPENAI_API_KEY'),
azure_endpoint=os.getenv('AZURE_OPENAI_API_BASE'),
openai_api_version=os.getenv('AZURE_OPENAI_API_VERSION'),
),
use_jsonb=True,
)
For more information, check the following python script in the container (container name: opengpts-backend
).
/usr/local/lib/python3.11/site-packages/langchain_openai/embeddings/azure.py
from opengpts.
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