---
id: langchain-google-community
version: "5.0.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# langchain-google-community — An integration package connecting miscellaneous Google's products and LangChain

License: permissive · Maintenance: active · Downloads: 11.5M/mo

## What it is and what it does

This package fills a gap in the LangChain ecosystem by providing integrations for Google products that don't fit into the dedicated vertexai or genai packages. It acts as a bridge between LangChain applications and miscellaneous Google services, allowing developers to incorporate Google APIs and cloud capabilities into their language model workflows.

The package depends on core LangChain libraries (langchain-core, langchain, langgraph) plus Google Cloud infrastructure (google-cloud-core, google-api-core, google-api-python-client, google-cloud-modelarmor) and supporting libraries like aiohttp, grpcio, numpy, and requests. It's designed for developers building LangChain applications who need access to Google services beyond the scope of the main Google integration packages.

Use it for:

- Integrate miscellaneous Google Cloud services into LangChain agents and chains
- Connect LangChain applications to Google APIs not covered by dedicated packages
- Build multi-step workflows combining LangChain with Google product capabilities
- Extend LangChain with custom Google integrations for specialized use cases

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Connects Google products and services to LangChain applications, providing integrations for Google APIs, cloud services, and AI models not covered by the dedicated vertexai or genai packages.

Yes, if you need Google product integrations beyond vertexai and genai within a LangChain application. The package is actively maintained, has low install friction, uses a permissive MIT license, and carries no known vulnerabilities. Install it only if you have a specific need for one of its integrations; otherwise, the dependency footprint (11 runtime packages) may be unnecessary overhead.

## Install

pip install langchain-google-community
uv add langchain-google-community
poetry add langchain-google-community

## Installing langchain-google-community

Before you install: Low install friction with a pure-Python wheel. Active maintenance with a recent release 57 days ago. Depends on 11 runtime packages including langchain-core, langchain, langgraph, and several Google Cloud libraries, which are themselves well-maintained.

License in practice: MIT license permits unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations beyond attribution.

Quickstart:

pip install langchain-google-community

from langchain_google_community import SomeGoogleIntegration
# Use the integration with your LangChain application

Requires Python 3.10 or later (supports current versions, <4.0.0). Google Cloud credentials and API keys may be needed depending on which integrations you use.

Verify before relying:

- Which specific Google products and services are covered by this package beyond what vertexai and genai packages provide
- Whether all 11 runtime dependencies are required for all integrations or if some are optional
- Performance characteristics when working with large-scale Google Cloud operations

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 11.5M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

google langchain integration, google cloud langchain, langchain google api, google services langchain, langchain google community, langchain-integration, google-cloud

[View on SkillFed](https://skillfed.io/packages/langchain-google-community) · [View on PyPI](https://pypi.org/project/langchain-google-community/)