Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update introduction.mdx #6425

Merged
merged 1 commit into from
Jun 20, 2023
Merged

Update introduction.mdx #6425

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
4 changes: 2 additions & 2 deletions docs/docs_skeleton/docs/get_started/introduction.mdx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ sidebar_position: 0
- **Agentic**: allow a language model to interact with its environment

The main value props of LangChain are:
1. **Components**: abstractions for working with language models, along with a collection of implementations for each abstraction. Components are modular and easy-to-use, whether you are using the using the rest of the LangChain framework or not
1. **Components**: abstractions for working with language models, along with a collection of implementations for each abstraction. Components are modular and easy-to-use, whether you are using the rest of the LangChain framework or not
2. **Off-the-shelf chains**: a structured assembly of components for accomplishing specific higher-level tasks

Off-the-shelf chains make it easy to get started. For more complex applications and nuanced use-cases, components make it easy to customize existing chains or build new ones.
Expand Down Expand Up @@ -62,4 +62,4 @@ Join us on [GitHub](https://github.com/hwchase17/langchain) or [Discord](https:/

## API reference

Head to the [reference](https://api.python.langchain.com) section for full documentation of all classes and methods in the LangChain Python package.
Head to the [reference](https://api.python.langchain.com) section for full documentation of all classes and methods in the LangChain Python package.