langchain-google-vertexai: 1.0.8#
callbacks#
Callback Handler that tracks VertexAI info. |
chains#
chat_models#
Google Cloud Vertex AI chat model integration. |
embeddings#
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Google Cloud VertexAI embedding models. |
evaluators#
Evaluate the perplexity of a predicted string. |
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Evaluate the perplexity of a predicted string. |
functions_utils#
Parse an output as a pydantic object. |
gemma#
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Needed for mypy typing to recognize model_name as a valid arg. |
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Needed for mypy typing to recognize model_name as a valid arg. |
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Local gemma model loaded from HuggingFace. |
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Local gemma chat model loaded from Kaggle. |
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Create a new model by parsing and validating input data from keyword arguments. |
llms#
Google Vertex AI large language models. |
model_garden#
Create a new model by parsing and validating input data from keyword arguments. |
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Large language models served from Vertex AI Model Garden. |
utils#
vectorstores#
Stores documents in Google Cloud DataStore. |
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Abstract interface of a key, text storage for retrieving documents. |
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Stores documents in Google Cloud Storage. |
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VertexAI VectorStore that handles the search and indexing using Vector Search and stores the documents in Google Cloud Storage. |
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VectorSearch with DatasTore document storage. |
Alias of VectorSearchVectorStore for consistency with the rest of vector stores with different document storage backends. |
vision_models#
Implementation of the Image Captioning model as an LLM. |
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Implementation of the Image Captioning model as a chat. |
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Given an image and a prompt, edits the image. |
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Generates an image from a prompt. |
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Chat implementation of a visual QnA model |