langchain/docs/ecosystem/cohere.md
Harrison Chase 985496f4be
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>
2023-01-02 08:24:09 -08:00

741 B

Cohere

This page covers how to use the Cohere ecosystem within LangChain. It is broken into two parts: installation and setup, and then references to specific Cohere wrappers.

Installation and Setup

  • Install the Python SDK with pip install cohere
  • Get an Cohere api key and set it as an environment variable (COHERE_API_KEY)

Wrappers

LLM

There exists an Cohere LLM wrapper, which you can access with

from langchain.llms import Cohere

Embeddings

There exists an Cohere Embeddings wrapper, which you can access with

from langchain.embeddings import CohereEmbeddings

For a more detailed walkthrough of this, see this notebook