Skip to main content

Building applications with LLMs through composability

Project description

🦜🍎️ LangChain Core

PyPI - Version PyPI - License PyPI - Downloads Twitter

Looking for the JS/TS version? Check out LangChain.js.

To help you ship LangChain apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.

Quick Install

pip install langchain-core

🤔 What is this?

LangChain Core contains the base abstractions that power the LangChain ecosystem.

These abstractions are designed to be as modular and simple as possible.

The benefit of having these abstractions is that any provider can implement the required interface and then easily be used in the rest of the LangChain ecosystem.

⛰️ Why build on top of LangChain Core?

The LangChain ecosystem is built on top of langchain-core. Some of the benefits:

  • Modularity: We've designed Core around abstractions that are independent of each other, and not tied to any specific model provider.
  • Stability: We are committed to a stable versioning scheme, and will communicate any breaking changes with advance notice and version bumps.
  • Battle-tested: Core components have the largest install base in the LLM ecosystem, and are used in production by many companies.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs.

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain_core-1.2.5.tar.gz (820.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

langchain_core-1.2.5-py3-none-any.whl (484.9 kB view details)

Uploaded Python 3

File details

Details for the file langchain_core-1.2.5.tar.gz.

File metadata

  • Download URL: langchain_core-1.2.5.tar.gz
  • Upload date:
  • Size: 820.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain_core-1.2.5.tar.gz
Algorithm Hash digest
SHA256 d674f6df42f07e846859b9d3afe547cad333d6bf9763e92c88eb4f8aaedcd3cc
MD5 a7716ae45bd39d07744b7533302cc667
BLAKE2b-256 c886bd678d69341ae4178bc8dfa04024d63636e5d580ff03d4502c8bc2262917

See more details on using hashes here.

File details

Details for the file langchain_core-1.2.5-py3-none-any.whl.

File metadata

  • Download URL: langchain_core-1.2.5-py3-none-any.whl
  • Upload date:
  • Size: 484.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain_core-1.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 3255944ef4e21b2551facb319bfc426057a40247c0a05de5bd6f2fc021fbfa34
MD5 f04917094a41f56c87d1fe4f4b81411e
BLAKE2b-256 83bd9df897cbc98290bf71140104ee5b9777cf5291afb80333aa7da5a497339b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page