langchain_google_vertexai

Return a corresponding Vertex MaaS instance.

A factory method based on model's name.

Creates a cache for content in some model.

Evaluate the perplexity of a predicted string.

Evaluate the perplexity of a predicted string.

Parse an output as a pydantic object.

This parser is used to parse the output of a chat model that uses Google Vertex function format to invoke functions.

The parser extracts the function call invocation and matches them to the pydantic schema provided.

An exception will be raised if the function call does not match the provided schema.

Large language models served from Vertex AI Model Garden.

Stores documents in Google Cloud DataStore.

Stores documents in Google Cloud Storage.

For each pair id, document_text the name of the blob will be {prefix}/{id} stored in plain text format.

VertexAI VectorStore that handles the search and indexing using Vector Search and stores the documents in Google Cloud Storage.

VectorSearch with DataStore document storage.

Alias of VectorSearchVectorStore for consistency with the rest of vector stores with different document storage backends.

Implementation of the Image Captioning model as an LLM.

Implementation of the Image Captioning model as a chat.

Given an image and a prompt, edits the image.

Currently only supports mask free editing.

Generates an image from a prompt.

Chat implementation of a visual QnA model.

DEPRECATED

DEPRECATED

Wrapper around Google VertexAI chat-based models.

Vertex supports both v1 and v1beta1 endpoints (endpoint_version parameter).

Model profile data. All edits should be made in profile_augmentations.toml.