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langchain-ai/langchain-google

๐Ÿฆœ๐Ÿ”— LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)

Python โ—‡ ai MIT
โ˜…405STARS
โ‘‚496FORKS
!209ISSUES
๐Ÿ†#9,830GLOBAL RANK
๐Ÿ”ฅ17DAYS TRENDING
๐Ÿš€
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Momentum

+10

STARS ยท LAST 30 DAYS

1

PER DAY

#1,260

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+10+25

langchain-google gained 10 stars in the last 30 days, about 1 a day, and now has 405. It is about 3 years old and has averaged roughly 135 stars a year. It ranks #1,260 among Python repositories and #9,830 across all languages on GitHubRepo.

Trending Record

langchain-google has maintained a continuous presence across global trending indexes, peaking at #5617. Below is the 30-day activity profile:

๐Ÿ’ก Overview

langchain-google is an open-source project written in Python: ๐Ÿฆœ๐Ÿ”— LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI).

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, gemini, gemini-api. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install langchain-google

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

langchain-google coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

๐ŸŽฏ Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with langchain-google.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

๐Ÿš€ Getting Started

1

Install langchain-google using your package manager: `pip install langchain-google`

2

Initialize your project workspace or configuration file for langchain-google.

3

Import langchain-google into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `langchain-google --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 405 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

langchain-ai/langchain-google is currently ranked #9,830 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,820 marzent/XIV-on-Mac Swift โ˜… 406 Compare โ†—
#9,820 suzuki-shunsuke/tfaction TypeScript โ˜… 406 Compare โ†—
#9,820 mowangshuying/FluentUI C++ โ˜… 406 Compare โ†—
#9,820 appstore-discounts/appstore-discounts TypeScript โ˜… 406 Compare โ†—
#9,820 JeroenGar/sparrow Rust โ˜… 406 Compare โ†—
#9,830 langchain-ai/langchain-google This Project Python โ˜… 405
#9,830 pingswept/pysolar Jupyter Notebook โ˜… 405 Compare โ†—
#9,830 jruby/jruby-rack Ruby โ˜… 405 Compare โ†—
#9,830 Fody/MethodDecorator C# โ˜… 405 Compare โ†—
#9,830 tagyoureit/nodejs-poolController TypeScript โ˜… 405 Compare โ†—
#9,830 CriticalPathSecurity/Zeek-Intelligence-Feeds Zeek โ˜… 405 Compare โ†—
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Frequently Asked Questions

What does langchain-google do? +

๐Ÿฆœ๐Ÿ”— LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)

What language is langchain-google written in? +

The primary language is Python. Topics include: ai, gemini, gemini-api, langchain, langchain-python.

Is langchain-google actively maintained? +

Yes, the last recorded push was on Oct 1, 2026 with 209 open issues being tracked.

How many stars does langchain-google have? +

langchain-google has 405 stars and 496 forks on GitHub.

How does langchain-google rank among GitHub repositories? +

With 405 stars, langchain-ai/langchain-google is ranked #9,830 globally across all repositories tracked on GitHubRepo and #1,260 among Python projects.

What license is langchain-google distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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