ec17b4e9d3
The change clarifies that using a `Document` as input in the `FlowRunner` class is a straightforward way to pass text data in Langflow, specifically because it can be connected to many loaders. It also mentions that generally, a flow expects a string or a dictionary as input. Additionally, it updates the explanation of extracting the content of a document using the `page_content` attribute, which is a string. |
||
|---|---|---|
| .. | ||
| docs | ||
| plugins | ||
| src | ||
| static | ||
| babel.config.js | ||
| docusaurus.config.js | ||
| index.d.ts | ||
| package-lock.json | ||
| package.json | ||
| README.md | ||
| sidebars.js | ||
| spell_add.sh | ||
| spell_check.sh | ||
| tailwind.config.js | ||
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.