langchain-huggingface
An integration package connecting Hugging Face and LangChain.
Decision gist · record as of 2026-08-14
Yes. This is an active, well-maintained integration for a widely-used ecosystem (Hugging Face). Low install friction, permissive license, no known vulnerabilities, and broad Python version support (3.10–3.14) make it a straightforward choice if you need Hugging Face models or embeddings in LangChain. Be aware that local inference requires the [full] extra with newer dependency versions than langchain-community previously accepted.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- For local inference (HuggingFaceEmbeddings, HuggingFacePipeline), install the [full] extra which adds sentence-transformers>=5.2.0 and transformers>=5.0.0.
- Requires Python 3.10 or later.
- Low friction install with a pure-Python wheel.
License · maintenance · safety
MIT (permissive) — MIT license is permissive and poses no restrictions on commercial or private use.
last release 2026-04-16 (120 days) · last repo commit 2026-08-14 · 144,266 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,793,338 downloads/mo, #3,551 on PyPI
Alternatives
Verify before relying
pip install langchain-huggingface
from langchain_huggingface import HuggingFaceEmbeddings
# or
from langchain_huggingface import HuggingFaceEndpoint- Whether the package supports all Hugging Face model types or only a subset
- Performance characteristics when using remote Hugging Face endpoints vs. local inference
- Whether authentication credentials are required for all use cases or only certain endpoints
What it is and what it does
langchain-huggingface is a LangChain integration package that bridges Hugging Face models and embeddings into LangChain workflows. It provides classes to work with Hugging Face resources either through local inference or remote API endpoints, letting you embed text and run language models within LangChain applications.
The package has three core runtime dependencies: huggingface-hub (for API access), langchain-core (the LangChain framework), and tokenizers (for text processing). Local inference requires additional optional dependencies (sentence-transformers and transformers), which must be explicitly installed via the [full] extra. The package is actively maintained, supports Python 3.10 through 3.14, and carries no known vulnerabilities.
Use it for
- Build RAG pipelines that use Hugging Face embeddings to encode documents and queries for semantic search.
- Deploy LangChain agents that call Hugging Face models via API endpoints for inference without local GPU.
- Run local language models through LangChain using Hugging Face transformers for privacy-sensitive applications.
- Combine Hugging Face embeddings with LangChain memory and retrieval for context-aware chatbots.
- Integrate open-source Hugging Face models into existing LangChain workflows without rewriting integration code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an active, well-maintained integration for a widely-used ecosystem (Hugging Face). Low install friction, permissive license, no known vulnerabilities, and broad Python version support (3.10–3.14) make it a straightforward choice if you need Hugging Face models or embeddings in LangChain. Be aware that local inference requires the [full] extra with newer dependency versions than langchain-community previously accepted.
Install
langchain-huggingface on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance with a recent release 120 days ago. Requires Python 3.10 or later. Optional extras (sentence-transformers>=5.2.0, transformers>=5.0.0) needed only for local inference; note that the [full] extra requires newer versions than langchain-community previously accepted.
For local inference (HuggingFaceEmbeddings, HuggingFacePipeline), install the [full] extra which adds sentence-transformers>=5.2.0 and transformers>=5.0.0. Requires Python 3.10 or later.
License in practice
MIT license is permissive and poses no restrictions on commercial or private use.
Quickstart
pip install langchain-huggingface
from langchain_huggingface import HuggingFaceEmbeddings
# or
from langchain_huggingface import HuggingFaceEndpointVerify before relying
- Whether the package supports all Hugging Face model types or only a subset
- Performance characteristics when using remote Hugging Face endpoints vs. local inference
- Whether authentication credentials are required for all use cases or only certain endpoints
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 | 3 packageshuggingface-hublangchain-coretokenizers |
| Maintenance | Actively maintained 120 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,793,338 / month, #3,551 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: langchain_huggingface-1.2.2-py3-none-any.whl
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