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. You can also chat with the docs using Chat LangChain.

📕 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-1.3.0a3.tar.gz (860.8 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-1.3.0a3-py3-none-any.whl (515.2 kB view details)

Uploaded Python 3

File details

Details for the file langchain_core-1.3.0a3.tar.gz.

File metadata

  • Download URL: langchain_core-1.3.0a3.tar.gz
  • Upload date:
  • Size: 860.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for langchain_core-1.3.0a3.tar.gz
Algorithm Hash digest
SHA256 d27d9e43060850159a84c3913ba71bfcdd5807d52a4794c6ee719116510a5f04
MD5 0d5893d4bf5af3ffe873f9236b6adc5f
BLAKE2b-256 f23bc4f9466f2ca7d56bde381ee26e78272b3eff65255ddc3954e3c4f99ca6d5

See more details on using hashes here.

File details

Details for the file langchain_core-1.3.0a3-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_core-1.3.0a3-py3-none-any.whl
Algorithm Hash digest
SHA256 f819afed6c2c48fc70dadf7f968f03f224307820e6965a885a357412090c9241
MD5 9d5b357479973ff3b03fee38f46e56e2
BLAKE2b-256 55ede58ff8229b18a9c5cfbeb531d463b5193bb643ddfa97cf42f2c11c06d4db

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