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.

Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.

📕 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 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-0.1.11.tar.gz (163.7 kB view details)

Uploaded Source

Built Distribution

langchain_core-0.1.11-py3-none-any.whl (218.6 kB view details)

Uploaded Python 3

File details

Details for the file langchain_core-0.1.11.tar.gz.

File metadata

  • Download URL: langchain_core-0.1.11.tar.gz
  • Upload date:
  • Size: 163.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for langchain_core-0.1.11.tar.gz
Algorithm Hash digest
SHA256 4ad4b596dbfdbc8393c96d40983b97aec165ab0ba66430beae73e3d879c13a0d
MD5 0d846093a6516a0b62f688a58f53d9af
BLAKE2b-256 d5390c3d5fde3be45f0bea2d62481158771a03d03fcfbe0914b4c58c965e98e2

See more details on using hashes here.

File details

Details for the file langchain_core-0.1.11-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_core-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 69bd66e8604863b0eb1fe4fcd05507be52fdd937dd0849d42eaae80141982e6d
MD5 93604e120890010f58ae50c64c2eed39
BLAKE2b-256 01c844b0365203607fd2315c9b35e59aa16b809176e3229a3ff778fb715f55f2

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