Files
langchain/docs
Matt WellsandHarrison Chase e1ea191237 Demonstrate use of get_buffer_string (#13013)
**Description**

The docs for creating a RAG chain with Memory [currently use a manual
lambda](https://python.langchain.com/docs/expression_language/cookbook/retrieval#with-memory-and-returning-source-documents)
to format chat history messages. [There exists a helper method within
the
codebase](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/schema/messages.py#L14C15-L14C15)
to perform this task so I've updated the documentation to demonstrate
its usage

Also worth noting that the current documented method of using the
included `_format_chat_history ` function actually results in an error:

```
TypeError: 'HumanMessage' object is not subscriptable
```

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-12-05 20:08:50 -08:00
..
2023-11-14 14:17:44 -08:00
2023-10-10 12:55:19 -07:00
2023-10-10 12:55:19 -07:00
2023-10-12 11:44:03 -04:00
2023-10-10 12:55:19 -07:00
2023-12-04 12:50:56 -08:00

Website

This website is built using Docusaurus 2, a modern static website generator.

Installation

$ yarn

Local Development

$ yarn start

This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.

Build

$ yarn build

This command generates static content into the build directory and can be served using any static contents hosting service.

Deployment

Using SSH:

$ USE_SSH=true yarn deploy

Not using SSH:

$ GIT_USER=<Your GitHub username> yarn deploy

If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.

Continuous Integration

Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.

$ yarn ci