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langchain-google-community

An integration package connecting miscellaneous Google's products and LangChain

With conditionsPyPI Artificial IntelligenceReleased Jun 202611.5M downloads / moMITPure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — langchain_google_community-5.0.0-py3-none-any.whl
v5.0.0 · released 2026-06-18 · Python <4.0.0,>=3.10.0 · 11 runtime deps: aiohttp, google-api-core, google-api-python-client, google-cloud-core, google-cloud-modelarmor, grpcio, langchain-core, langchain

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.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • 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.
  • Low install friction with a pure-Python wheel.

License · maintenance · safety

MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and commercial projects with minimal obligations beyond attribution.

last release 2026-06-18 (57 days) · last repo commit 2026-08-14 · 398 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 11,490,819 downloads/mo, #1,390 on PyPI

Verify before relying

pip install langchain-google-community

from langchain_google_community import SomeGoogleIntegration
# Use the integration with your LangChain application
  • 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
Same gist for agents: .md · .json

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 on this page. Verify before relying on it.

With conditions

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

langchain-google-community on PyPI

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.

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.

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

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

LicenseMIT permissive
Python supportSupports the current Python release <4.0.0,>=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
11 packages
aiohttpgoogle-api-coregoogle-api-python-clientgoogle-cloud-coregoogle-cloud-modelarmorgrpciolangchain-corelangchainlanggraphnumpyrequests
MaintenanceActively maintained 57 days since the last release
Last repo commit
First released
Downloads11,490,819 / month, #1,390 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: langchain_google_community-5.0.0-py3-none-any.whl

Tags

Capabilities
google langchain integrationgoogle cloud langchainlangchain google apigoogle services langchainlangchain google community
Topics
langchain-integrationgoogle-cloud

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See also langchain-google-genai · langchain-google-vertexai · langchain-community · langchain-aws · langchain-openai · langchain-tests · langchain-exa · langchain-classic · langchain-xai · langchain-google-calendar-tools