Google integrations

Integrate with Google using LangChain Python.

This page covers all LangChain integrations with Google Gemini, Google Cloud, and other Google products (such as Google Maps, YouTube, and more).

Unified SDK & package consolidation

As of langchain-google-genai 4.0.0, this package uses the consolidated google-genai SDK and now supports both the Gemini Developer API and Vertex AI backends.

The langchain-google-vertexai package remains supported for Vertex AI platform-specific features (Model Garden, Vector Search, evaluation services, etc.).

Read the full announcement and migration guide.

Not sure which package to use?

Google Generative AI (Gemini API & Vertex AI)

Access Google Gemini models via the Gemini Developer API or Vertex AI. The backend is selected automatically based on your configuration.

• Gemini Developer API: Quick setup with API key, ideal for individual developers and rapid prototyping
• Vertex AI: Enterprise features with Google Cloud integration (requires GCP project)

Use the langchain-google-genai package for chat models, LLMs, and embeddings.

See integrations.

Google Cloud (Vertex AI Platform Services)

Access Vertex AI platform-specific services beyond Gemini models: Model Garden (Llama, Mistral, Anthropic), evaluation services, and specialized vision models.

Use the langchain-google-vertexai package for platform services and specific packages (e.g., langchain-google-community, langchain-google-cloud-sql-pg) for other cloud services like databases and storage.

See integrations.

See Google’s guide on migrating from the Gemini API to Vertex AI for more details on the differences.

---

Google Generative AI

Access Google Gemini models via the Gemini Developer API or Vertex AI using the unified langchain-google-genai package.

Chat models

ChatGoogleGenerativeAI

Google Gemini chat models via Gemini Developer API or Vertex AI.

Get started

LLMs

GoogleGenerativeAI

Gemini models using the (legacy) LLM text completion interface.

Get started

Embedding models

GoogleGenerativeAIEmbeddings

Gemini embedding models via Gemini Developer API or Vertex AI.

Get started

---

Google Cloud

Access Vertex AI platform-specific services including Model Garden (Llama, Mistral, Anthropic), Vector Search, evaluation services, and specialized vision models.

For Gemini models, use ChatGoogleGenerativeAI from langchain-google-genai. The classes below focus on Vertex AI platform services not available in the consolidated SDK.

Chat models

ChatAnthropicVertex

Anthropic on Vertex AI Model Garden

Get started

ChatVertexAI (deprecated)

Deprecated—Use ChatGoogleGenerativeAI for Gemini models instead.

from langchain_google_vertexai import ChatVertexAI

VertexModelGardenLlama

Llama on Vertex AI Model Garden

from langchain_google_vertexai.model_garden_maas.llama import VertexModelGardenLlama

VertexModelGardenMistral

Mistral on Vertex AI Model Garden

from langchain_google_vertexai.model_garden_maas.mistral import VertexModelGardenMistral

GemmaChatLocalHF

Local Gemma model loaded from HuggingFace.

from langchain_google_vertexai.gemma import GemmaChatLocalHF

GemmaChatLocalKaggle

Local Gemma model loaded from Kaggle.

from langchain_google_vertexai.gemma import GemmaChatLocalKaggle

GemmaChatVertexAIModelGarden

Gemma on Vertex AI Model Garden

from langchain_google_vertexai.gemma import GemmaChatVertexAIModelGarden

VertexAIImageCaptioningChat

Image captioning model as a chat interface.

from langchain_google_vertexai.vision_models import VertexAIImageCaptioningChat

VertexAIImageEditorChat

Edit images given a prompt. Currently supports mask-free editing only.

from langchain_google_vertexai.vision_models import VertexAIImageEditorChat

VertexAIImageGeneratorChat

Generate images from a prompt.

from langchain_google_vertexai.vision_models import VertexAIImageGeneratorChat

VertexAIVisualQnAChat

Visual question answering model as a chat interface.

from langchain_google_vertexai.vision_models import VertexAIVisualQnAChat

LLMs

(Legacy) string-in, string-out LLM interface.

VertexAIModelGarden

Hundreds of OSS models via Vertex AI Model Garden.

Get started

VertexAI (deprecated)

Deprecated—Use GoogleGenerativeAI for Gemini models instead.

from langchain_google_vertexai import VertexAI

Gemma local from Hugging Face

Local Gemma model loaded from HuggingFace.

from langchain_google_vertexai.gemma import GemmaLocalHF

Gemma local from Kaggle

Local Gemma model loaded from Kaggle.

from langchain_google_vertexai.gemma import GemmaLocalKaggle

Gemma on Vertex AI Model Garden

from langchain_google_vertexai.gemma import GemmaVertexAIModelGarden

Vertex AI image captioning

Image captioning model as an LLM interface.

from langchain_google_vertexai.vision_models import VertexAIImageCaptioning

Embedding models

VertexAIEmbeddings (deprecated)

Deprecated—Use GoogleGenerativeAIEmbeddings instead.

from langchain_google_vertexai import VertexAIEmbeddings

Document loaders

AlloyDB for PostgreSQL

PostgreSQL-compatible database on Google Cloud.

Get started

BigQuery

Serverless data warehouse.

Get started

Bigtable

Key-value and wide-column store for structured and semi-structured data.

Get started

Cloud SQL for MySQL

Managed MySQL database.

Get started

Cloud SQL for SQL Server

Managed SQL Server database.

Get started

Cloud SQL for PostgreSQL

Managed PostgreSQL database.

Get started

Cloud Storage (directory)

Load documents from a GCS bucket directory.

Get started

Cloud Storage (file)

Load a single document from GCS.

Get started

El Carro for Oracle Workloads

Oracle databases on Kubernetes via El Carro.

Get started

Firestore (Native Mode)

NoSQL document database.

Get started

Firestore (Datastore Mode)

Firestore in Datastore mode.

Get started

Memorystore for Redis

Managed Redis service.

Get started

Spanner

Globally distributed relational database.

Get started

Speech-to-Text

Transcribe audio files.

Get started

Cloud Vision loader

Load data using Google Cloud Vision API.

from langchain_google_community.vision import CloudVisionLoader

Document transformers

Document AI

Extract structured data from unstructured documents.

Get started

Google Translate

Translate text and HTML via Cloud Translation API.

Get started

Vector stores

Store and search vectors using Google Cloud databases and Vertex AI Vector Search.

AlloyDB for PostgreSQL

PostgreSQL-compatible vector store on AlloyDB.

Get started

BigQuery Vector Search

Semantic search using GoogleSQL with vector indexes.

Get started

Memorystore for Redis

Vector store on Memorystore for Redis.

Get started

Spanner

Vector store on Cloud Spanner.

Get started

Bigtable

Vector store on Cloud Bigtable.

Get started

Firestore (Native Mode)

Vector store on Firestore.

Get started

Cloud SQL for MySQL

Vector store on Cloud SQL for MySQL.

Get started

Cloud SQL for PostgreSQL

Vector store on Cloud SQL for PostgreSQL.

Get started

Vertex AI Vector Search

Formerly known as Vertex AI Matching Engine, provides a low latency vector database. These vector databases are commonly referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.

Get started

Vertex AI Vector Search + Datastore

Vector search with Datastore for document storage.

Get started

Retrievers

Vertex AI Search

Generative AI powered search via Vertex AI Search.

Get started

Document AI Warehouse

Search, store, and manage documents using Document AI Warehouse.

Get started

Other retrievers

from langchain_google_community import VertexAIMultiTurnSearchRetriever
from langchain_google_community import VertexAISearchRetriever
from langchain_google_community import VertexAISearchSummaryTool

Tools

Integrate agents with various Google Cloud services.

Text-to-Speech

Synthesize natural-sounding speech with 100+ voices.

Get started

Callbacks

Track LLM/Chat model usage.

Vertex AI callback handler

Track VertexAI usage info.

from langchain_google_vertexai.callbacks import VertexAICallbackHandler

Google BigQuery

See the documentation for more details.

from langchain_google_community.callbacks.bigquery_callback import BigQueryCallbackHandler

Evaluators

Evaluate model outputs using Vertex AI.

VertexPairWiseStringEvaluator

Pair-wise evaluation using Vertex AI models.

from langchain_google_vertexai.evaluators.evaluation import VertexPairWiseStringEvaluator

VertexStringEvaluator

Single prediction evaluation using Vertex AI models.

from langchain_google_vertexai.evaluators.evaluation import VertexStringEvaluator

---

Other Google products

Integrations with various Google services beyond the core Cloud Platform.

Document loaders

Google Drive

Load files from Google Drive. Currently supports Google Docs.

Get started

Retrievers

Google Drive

Retrieve documents from Google Drive.

Get started

Tools

Google Search

Web search via Google Custom Search Engine (CSE).

Get started

Google Drive

Interact with Google Drive.

Get started

MCP

MCP Toolbox

Connect to databases including Cloud SQL and AlloyDB.

Get started

Toolkits

Gmail

Create, search, and send emails via the Gmail API.

Get started

---

3rd party integrations

Access Google services via unofficial third-party APIs.

Search

cloro

Google Search results with AI Overview support.

Get started

---

Connect these docs to Claude, VSCode, and more via MCP for real-time answers.

Edit this page on GitHub or file an issue.