Docs refactor (#480)

Big docs refactor! Motivation is to make it easier for people to find
resources they are looking for. To accomplish this, there are now three
main sections:

- Getting Started: steps for getting started, walking through most core
functionality
- Modules: these are different modules of functionality that langchain
provides. Each part here has a "getting started", "how to", "key
concepts" and "reference" section (except in a few select cases where it
didnt easily fit).
- Use Cases: this is to separate use cases (like summarization, question
answering, evaluation, etc) from the modules, and provide a different
entry point to the code base.

There is also a full reference section, as well as extra resources
(glossary, gallery, etc)

Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
This commit is contained in:
Harrison Chase
2023-01-02 08:24:09 -08:00
committed by GitHub
parent c5f0af9398
commit 985496f4be
164 changed files with 4326 additions and 2586 deletions

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# NLPCloud
This page covers how to use the NLPCloud ecosystem within LangChain.
It is broken into two parts: installation and setup, and then references to specific NLPCloud wrappers.
## Installation and Setup
- Install the Python SDK with `pip install nlpcloud`
- Get an NLPCloud api key and set it as an environment variable (`NLPCLOUD_API_KEY`)
## Wrappers
### LLM
There exists an NLPCloud LLM wrapper, which you can access with
```python
from langchain.llms import NLPCloud
```