langchain-weaviate
An integration package connecting Weaviate and LangChain
Decision gist · record as of 2026-08-14
Yes, if you are building a LangChain application and have or plan to deploy Weaviate. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. The main prerequisite is having a running Weaviate instance; without that, the package alone is not useful.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- A running Weaviate instance must be deployed and accessible before using this package.
- Low install friction with three straightforward runtime dependencies.
- The package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal friction.
last release 2026-07-10 (35 days) · last repo commit 2026-08-12 · 70 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 325,781 downloads/mo, #7,582 on PyPI
Alternatives
Verify before relying
pip install langchain-weaviate
from langchain_weaviate import WeaviateVectorStore
vector_store = WeaviateVectorStore.from_documents(
documents, embeddings, client=weaviate_client
)- Whether the package supports all Weaviate deployment methods mentioned in the description (Docker Compose, WCS, Kubernetes, cloud providers) or only a subset.
- Specific LangChain version compatibility constraints beyond what the package declares.
What it is and what it does
langchain-weaviate is an integration package that bridges LangChain applications with Weaviate, an open-source AI-native vector database. It allows LangChain users to use Weaviate as their vector store backend for storing and retrieving embeddings, eliminating the need to write custom integration code.
The package depends on langchain-core, numpy, and weaviate-client, and requires Python 3.10 or later. It assumes you already have LangChain installed and a running Weaviate instance deployed—whether via Docker Compose, Weaviate Cloud Services, Kubernetes, or a cloud provider. The package is actively maintained with no known security vulnerabilities.
Use it for
- Store embeddings generated by LangChain in Weaviate for semantic search and retrieval-augmented generation workflows.
- Build AI applications that need persistent, queryable vector storage with LangChain's language model orchestration.
- Integrate Weaviate as a vector store backend in LangChain agents or chains that require embedding-based retrieval.
- Migrate or connect existing Weaviate deployments to LangChain-based applications without custom adapter code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building a LangChain application and have or plan to deploy Weaviate.
The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. The main prerequisite is having a running Weaviate instance; without that, the package alone is not useful.
Install
langchain-weaviate on PyPI
Before you install
Low install friction with three straightforward runtime dependencies. The package is actively maintained with a recent release and no known vulnerabilities.
A running Weaviate instance must be deployed and accessible before using this package.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal legal friction.
Quickstart
pip install langchain-weaviate
from langchain_weaviate import WeaviateVectorStore
vector_store = WeaviateVectorStore.from_documents(
documents, embeddings, client=weaviate_client
)Verify before relying
- Whether the package supports all Weaviate deployment methods mentioned in the description (Docker Compose, WCS, Kubernetes, cloud providers) or only a subset.
- Specific LangChain version compatibility constraints beyond what the package declares.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packageslangchain-corenumpyweaviate-client |
| Maintenance | Actively maintained 35 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 325,781 / month, #7,582 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: langchain_weaviate-0.0.8-py3-none-any.whl
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