langchain-google-vertexai
An integration package connecting Google VertexAI and LangChain
Decision gist · record as of 2026-08-14
Yes. This is an actively maintained, low-friction integration with no known vulnerabilities, permissive licensing, and strong download volume indicating production use. Install it if you're building LangChain applications on Google Cloud and want native Vertex AI model access.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud credentials configured (typically via GOOGLE_APPLICATION_CREDENTIALS environment variable or gcloud auth) and an active Google Cloud project with Vertex AI API enabled.
- Low install friction with a pure-Python wheel.
- Active maintenance with a recent release 66 days ago and ongoing commits.
License · maintenance · safety
MIT (permissive) — MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-06-09 (66 days) · last repo commit 2026-08-11 · 396 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 35,934,348 downloads/mo, #740 on PyPI
Alternatives
Verify before relying
pip install langchain-google-vertexai
from langchain_google_vertexai import VertexAI
model = VertexAI(model_name="gemini-pro")
response = model.invoke("What is machine learning?")- Whether the package supports streaming responses from Vertex AI models
- Performance characteristics when working with large embeddings or vector search datasets
- Specific Vertex AI model versions or capabilities supported by this integration
What it is and what it does
This package is a LangChain integration that bridges your Python applications to Google Cloud's Vertex AI platform. It provides LangChain-compatible interfaces for Vertex AI's generative models, embeddings, and vector search capabilities, allowing you to use Google's AI services within the LangChain ecosystem without writing direct API calls.
The package depends on google-cloud-aiplatform, google-cloud-storage, and google-cloud-vectorsearch to communicate with Google Cloud services, plus LangChain core for the integration layer. It requires Python 3.10 or later and is actively maintained by the LangChain team, with recent updates and ongoing development.
Use it for
- Build LangChain applications that use Vertex AI's language models for text generation and reasoning tasks
- Integrate Vertex AI embeddings into LangChain RAG pipelines for semantic search and retrieval
- Connect LangChain agents to Vertex AI's vector search for similarity-based document retrieval
- Deploy multi-model LangChain workflows that combine Vertex AI with other LangChain providers
- Use Vertex AI within LangChain chains for production workloads on Google Cloud infrastructure
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an actively maintained, low-friction integration with no known vulnerabilities, permissive licensing, and strong download volume indicating production use. Install it if you're building LangChain applications on Google Cloud and want native Vertex AI model access.
Install
langchain-google-vertexai on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with a recent release 66 days ago and ongoing commits. Depends on google-cloud libraries and LangChain core, which are themselves well-maintained.
Requires Google Cloud credentials configured (typically via GOOGLE_APPLICATION_CREDENTIALS environment variable or gcloud auth) and an active Google Cloud project with Vertex AI API enabled.
License in practice
MIT license is permissive; you can use, modify, and distribute this package with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install langchain-google-vertexai
from langchain_google_vertexai import VertexAI
model = VertexAI(model_name="gemini-pro")
response = model.invoke("What is machine learning?")Verify before relying
- Whether the package supports streaming responses from Vertex AI models
- Performance characteristics when working with large embeddings or vector search datasets
- Specific Vertex AI model versions or capabilities supported by this integration
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagesbottleneckgoogle-cloud-aiplatformgoogle-cloud-storagegoogle-cloud-vectorsearchhttpx-ssehttpxlangchain-corenumexprpyarrowpydanticvalidators |
| Maintenance | Actively maintained 66 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 35,934,348 / month, #740 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langchain_google_vertexai-3.2.4-py3-none-any.whl
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