docs: rename getting-started folder and add redirects (#4813)

* feat: add docusaurus preset for OpenAPI integration

* feat: integrate OpenAPI plugins into Docusaurus configuration

* plugins

* feat: define custom sidebar structure for documentation

* fix-folder-name-and-redirect
This commit is contained in:
Mendon Kissling 2024-11-25 15:26:58 -05:00 committed by GitHub
commit 1b3785ee95
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
19 changed files with 16626 additions and 116 deletions

View file

@ -22,7 +22,7 @@ However, you can use these same instructions as guidelines for using any type of
### Prerequisites
- [Langflow is installed](/getting-started-installation)
- [Langflow is installed](/get-started-installation)
- [You have an OpenAI API key](https://platform.openai.com/)
- [You have a Langflow Basic Prompting flow](/starter-projects-basic-prompting)

View file

@ -0,0 +1 @@
{"position":1, "label":"Get Started"}

View file

@ -1,7 +1,7 @@
---
title: Install Langflow
sidebar_position: 1
slug: /getting-started-installation
slug: /get-started-installation
---
You can deploy Langflow either locally or as a hosted service with [**Datastax Langflow**](#datastax-langflow).
@ -40,7 +40,7 @@ python -m langflow run
2. Confirm that a local Langflow instance starts by visiting `http://127.0.0.1:7860` in a Chromium-based browser.
Now that Langflow is running, follow the [Quickstart](/getting-started-quickstart) to create your first flow.
Now that Langflow is running, follow the [Quickstart](/get-started-quickstart) to create your first flow.
## Manage Langflow versions
@ -50,7 +50,7 @@ To upgrade Langflow to the latest version, use the pip upgrade command.
python -m pip install langflow -U
```
To install a specific verison of the Langflow package, add the required version to the command.
To install a specific version of the Langflow package, add the required version to the command.
```bash
python -m pip install langflow==1.1

View file

@ -1,7 +1,7 @@
---
title: Quickstart
sidebar_position: 2
slug: /getting-started-quickstart
slug: /get-started-quickstart
---

View file

@ -35,6 +35,6 @@ Join Langflow's vibrant community of developers and AI enthusiasts. See the foll
## Get started with Langflow
- [Install Langflow](/getting-started-installation)
- [Quickstart](/getting-started-quickstart)
- [Install Langflow](/get-started-installation)
- [Quickstart](/get-started-quickstart)

View file

@ -1 +0,0 @@
{"position":1, "label":"Getting Started"}

View file

@ -9,7 +9,7 @@ slug: /guides-new-to-llms
Large Language Models, or LLMs, are part of an exciting new world in computing.
We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](/getting-started-quickstart).
We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](/get-started-quickstart).
If you want to learn the basics of LLMs, prompt engineering, and AI models, Langflow recommends [promptingguide.ai](https://promptingguide.ai/), an open-source repository of prompt engineering content maintained by AI experts. PromptingGuide offers content for [beginners](https://www.promptingguide.ai/introduction/basics) and [experts](https://www.promptingguide.ai/techniques/cot), as well as the latest [research papers](https://www.promptingguide.ai/papers) and [test results](https://www.promptingguide.ai/research) fueling AI's progress.

View file

@ -20,7 +20,7 @@ This article demonstrates how to use Langflow's prompt tools to issue basic prom
---
- [Langflow installed and running](/getting-started-installation)
- [Langflow installed and running](/get-started-installation)
- [OpenAI API key created](https://platform.openai.com/)
## Create the basic prompting flow {#19d5305239c841548a695e2bf7839e7a}

View file

@ -16,7 +16,7 @@ OpenAI uses this loaded data to generate a blog post, as instructed by the **Tex
---
- [Langflow installed and running](/getting-started-installation)
- [Langflow installed and running](/get-started-installation)
- [OpenAI API key created](https://platform.openai.com/)

View file

@ -14,7 +14,7 @@ Build a question-and-answer chatbot with a document loaded from local memory.
---
- [Langflow installed and running](/getting-started-installation)
- [Langflow installed and running](/get-started-installation)
- [OpenAI API key created](https://platform.openai.com/)

View file

@ -14,7 +14,7 @@ This flow extends the [basic prompting](/starter-projects-basic-prompting) flo
---
- [Langflow installed and running](/getting-started-installation)
- [Langflow installed and running](/get-started-installation)
- [OpenAI API key created](https://platform.openai.com/)

View file

@ -23,7 +23,7 @@ We've chosen [Astra DB](https://astra.datastax.com/signup?utm_source=langflow-p
---
- [Langflow installed and running](https://docs.langflow.org/getting-started-installation)
- [Langflow installed and running](https://docs.langflow.org/get-started-installation)
- [OpenAI API key](https://platform.openai.com/)
- [An Astra DB vector database created](https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html) with:
- Application Token