Google Vertex AI PaLM
Vertex AI PaLM API is a service on Google Cloud exposing the embedding models.
Note: This integration is separate from the Google PaLM integration.
By default, Google Cloud does not use Customer Data to train its foundation models as part of Google Cloud`s AI/ML Privacy Commitment. More details about how Google processes data can also be found in Google's Customer Data Processing Addendum (CDPA).
To use Vertex AI PaLM you must have the langchain-google-vertexai Python package installed and either:
- Have credentials configured for your environment (gcloud, workload identity, etc...)
- Store the path to a service account JSON file as the GOOGLE_APPLICATION_CREDENTIALS environment variable
This codebase uses the google.auth library which first looks for the application credentials variable mentioned above, and then looks for system-level auth.
For more information, see:
- https://cloud.google.com/docs/authentication/application-default-credentials#GAC
- https://googleapis.dev/python/google-auth/latest/reference/google.auth.html#module-google.auth
%pip install --upgrade --quiet langchain langchain-google-vertexai
from langchain_google_vertexai import VertexAIEmbeddings
embeddings = VertexAIEmbeddings()
text = "This is a test document."
query_result = embeddings.embed_query(text)
doc_result = embeddings.embed_documents([text])
Related
- Embedding model conceptual guide
- Embedding model how-to guides