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docs ecosystem/integrations
update 4 (#5590)
# docs `ecosystem/integrations` update 4 Added missed integrations. Fixed inconsistencies. ## Who can review? @hwchase17 @dev2049
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# Cohere
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This page covers how to use the Cohere ecosystem within LangChain.
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It is broken into two parts: installation and setup, and then references to specific Cohere wrappers.
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>[Cohere](https://cohere.ai/about) is a Canadian startup that provides natural language processing models
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> that help companies improve human-machine interactions.
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## Installation and Setup
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- Install the Python SDK with `pip install cohere`
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- Get an Cohere api key and set it as an environment variable (`COHERE_API_KEY`)
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- Install the Python SDK :
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```bash
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pip install cohere
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```
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## Wrappers
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Get a [Cohere api key](https://dashboard.cohere.ai/) and set it as an environment variable (`COHERE_API_KEY`)
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### LLM
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## LLM
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There exists an Cohere LLM wrapper, which you can access with
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See a [usage example](../modules/models/llms/integrations/cohere.ipynb).
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```python
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from langchain.llms import Cohere
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```
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### Embeddings
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## Text Embedding Model
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There exists an Cohere Embeddings wrapper, which you can access with
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There exists an Cohere Embedding model, which you can access with
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```python
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from langchain.embeddings import CohereEmbeddings
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```
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For a more detailed walkthrough of this, see [this notebook](../modules/models/text_embedding/examples/cohere.ipynb)
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## Retriever
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See a [usage example](../modules/indexes/retrievers/examples/cohere-reranker.ipynb).
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```python
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from langchain.retrievers.document_compressors import CohereRerank
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```
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