Skip to main content

Building applications with LLMs through composability

Project description

🦜🍎️ LangChain Core

Downloads License: MIT

Quick Install

pip install langchain-core

What is it?

LangChain Core contains the base abstractions that power the rest of the LangChain ecosystem. These abstractions are designed to be as modular and simple as possible. Examples of these abstractions include those for language models, document loaders, embedding models, vectorstores, retrievers, and more. 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.

For full documentation see the API reference.

What is LangChain Expression Language?

LangChain Core also contains LangChain Expression Language, or LCEL, a runtime that allows users to compose arbitrary sequences together and get several benefits that are important when building LLM applications. We call these sequences “runnables”.

All runnables expose the same interface with single-invocation, batch, streaming and async methods. This design is useful because it is not enough to have a single sync interface when building an LLM application.
Batch is needed for efficient processing of many inputs. Streaming (and streaming of intermediate steps) is needed to show the user that progress is being made. Async interfaces are nice when moving into production. Rather than having to write multiple implementations for all of those, LCEL allows you to write a runnable once and invoke it in many different ways.

For more check out the LCEL docs.

LangChain Stack

📕 Releases & Versioning

langchain-core is currently on version 0.1.x.

As langchain-core contains the base abstractions and runtime for the whole LangChain ecosystem, we will communicate any breaking changes with advance notice and version bumps. The exception for this is anything in langchain_core.beta. The reason for langchain_core.beta is that given the rate of change of the field, being able to move quickly is still a priority, and this module is our attempt to do so.

Minor version increases will occur for:

  • Breaking changes for any public interfaces NOT in langchain_core.beta

Patch version increases will occur for:

  • Bug fixes
  • New features
  • Any changes to private interfaces
  • Any changes to langchain_core.beta

💁 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 here.

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-0.1.1.tar.gz (141.1 kB view details)

Uploaded Source

Built Distribution

langchain_core-0.1.1-py3-none-any.whl (190.6 kB view details)

Uploaded Python 3

File details

Details for the file langchain_core-0.1.1.tar.gz.

File metadata

  • Download URL: langchain_core-0.1.1.tar.gz
  • Upload date:
  • Size: 141.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for langchain_core-0.1.1.tar.gz
Algorithm Hash digest
SHA256 1253acc691548e8ae97c864cc94370d94fbc9e3244751aeaad0b1e9d5150eca4
MD5 44b4f022d7b0e10060e957ee2ac010b3
BLAKE2b-256 1e635e6806535e42e7d4baa015e02eab9a799e326e7eb80a07b5ac1dd589514e

See more details on using hashes here.

File details

Details for the file langchain_core-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_core-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 35b49abde43f37aa2fb2f9a2e11331218036dc34395943d12c2d305d5512a8be
MD5 f76cc718509c5a34abb31da3c2464332
BLAKE2b-256 858adba70df8dc46f8d3c2b39110a38b5bfdcd4874d55cdce3804685f8d18a81

See more details on using hashes here.

Supported by

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