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985496f4be
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>
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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
from langchain.llms import NLPCloud