> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Google integrations

> Integrate with Google using LangChain JavaScript.

LangChain provides integrations with [Google AI Studio](https://aistudio.google.com/) and [Google Cloud Vertex AI](https://cloud.google.com/vertex-ai) through the `@langchain/google` package.

<Info>
  Looking for the older `@langchain/google-genai` or `@langchain/google-vertexai` packages? They are maintained under [long-term support](#legacy-packages) but are no longer recommended for new projects.
</Info>

## Chat models

The [`ChatGoogle`](/oss/javascript/integrations/chat/google) class is the recommended way to access Gemini models (such as `gemini-2.5-pro`, `gemini-2.5-flash`, and `gemini-3.1-pro-preview`) and open models like Gemma. It supports both Google AI Studio and Vertex AI in a single interface

<Tip>
  See [this section for general instructions on installing LangChain packages](/oss/javascript/langchain/install).
</Tip>

<CodeGroup>
  ```bash npm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  npm install @langchain/google @langchain/core
  ```

  ```bash yarn theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  yarn add @langchain/google @langchain/core
  ```

  ```bash pnpm theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
  pnpm add @langchain/google @langchain/core
  ```
</CodeGroup>

Configure your API key:

```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
export GOOGLE_API_KEY=your-api-key
```

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { ChatGoogle } from "@langchain/google";

const model = new ChatGoogle("gemini-2.5-flash");

const res = await model.invoke([
  ["human", "What would be a good company name for a company that makes colorful socks?"],
]);
```

`ChatGoogle` supports tool calling, structured output, multimodal inputs (images, audio, video), reasoning/thinking, image generation, text-to-speech, and Gemini-specific native tools like Google Search grounding and code execution.

<CardGroup cols={2}>
  <Card title="ChatGoogle" icon="message-chatbot" href="/oss/javascript/integrations/chat/google">
    Full chat model documentation, including setup, invocation, streaming, structured output, and more.
  </Card>

  <Card title="Gemini native tools" icon="tool" href="/oss/javascript/integrations/tools/google">
    Google Search, Code Execution, URL Context, Google Maps, File Search, Computer Use, and MCP servers.
  </Card>
</CardGroup>

### Third-party models on Vertex AI

[Anthropic](/oss/javascript/integrations/chat/anthropic) Claude models are also available through
the [Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude)
platform. See [using Claude on Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude)
for more information about enabling access to the models and the model names to use.

## Vector stores

### Vertex AI vector search

> [Vertex AI Vector Search](https://cloud.google.com/vertex-ai/docs/matching-engine/overview),
> formerly known as Vertex AI Matching Engine, provides the industry's leading high-scale
> low latency vector database. These vector databases are commonly
> referred to as vector similarity-matching or an approximate nearest neighbor (ANN) service.

```typescript theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
import { MatchingEngine } from "@langchain/community/vectorstores/googlevertexai";
```

### Postgres vector store

The [PostgresVectorStore](/oss/javascript/integrations/vectorstores/google_cloudsql_pg) module from the
[`@langchain/google-cloud-sql-pg`](https://www.npmjs.com/package/@langchain/google-cloud-sql-pg) package provides a way to use CloudSQL for PostgreSQL to store
vector embeddings.

```bash theme={"theme":{"light":"catppuccin-latte","dark":"catppuccin-mocha"}}
npm install @langchain/google-cloud-sql-pg
```

## Community tools

Google-related community tools are available in the `@langchain/community` package:

* [Google Calendar](/oss/javascript/integrations/tools/google_calendar)
* [Gmail](/oss/javascript/integrations/tools/google_gmail)
* [Google Places](/oss/javascript/integrations/tools/google_places)
* [Google Routes](/oss/javascript/integrations/tools/google_routes)
* [Google Scholar](/oss/javascript/integrations/tools/google_scholar)
* [Google Trends](/oss/javascript/integrations/tools/google_trends)

## Legacy packages

The following packages are maintained under long-term support for existing users. New projects should use `@langchain/google` instead.

### `@langchain/google-genai`

The `@langchain/google-genai` package provides [`ChatGoogleGenerativeAI`](/oss/javascript/integrations/chat/google_generative_ai) for accessing Gemini models through Google AI Studio. This package is built on a deprecated Google SDK and will not receive new features.

### `@langchain/google-vertexai`

The `@langchain/google-vertexai` package provides [`ChatVertexAI`](/oss/javascript/integrations/chat/google_vertex_ai) for accessing Gemini models through Vertex AI. This package is superseded by the Vertex AI support built into `@langchain/google`.

### `@langchain/google-common`

The `@langchain/google-common` package contains shared abstractions used internally by the Google integration packages. It is not intended to be used directly.

<Tip>
  To migrate from `@langchain/google-genai` or `@langchain/google-vertexai` to `@langchain/google`, see the [ChatGoogle](/oss/javascript/integrations/chat/google) page for setup instructions. The `ChatGoogle` class provides equivalent functionality with unified access to both Google AI Studio and Vertex AI.
</Tip>

***

<div className="source-links">
  <Callout icon="terminal-2">
    [Connect these docs](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
  </Callout>

  <Callout icon="edit">
    [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/providers/google.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).
  </Callout>
</div>