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Update cohere provider docs (#14528)

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@ -11,28 +11,57 @@ pip install cohere
Get a [Cohere api key](https://dashboard.cohere.ai/) and set it as an environment variable (`COHERE_API_KEY`)
## Cohere langchain integrations
## LLM
|API|description|Endpoint docs|Import|Example usage|
|---|---|---|---|---|
|Chat|Build chat bots|[chat](https://docs.cohere.com/reference/chat)|`from langchain.chat_models import ChatCohere`|[cohere.ipynb](/docs/docs/integrations/chat/cohere.ipynb)|
|LLM|Generate text|[generate](https://docs.cohere.com/reference/generate)|`from langchain.llms import Cohere`|[cohere.ipynb](/docs/docs/integrations/llms/cohere.ipynb)|
|RAG Retriever|Connect to external data sources|[chat + rag](https://docs.cohere.com/reference/chat)|`from langchain.retrievers import CohereRagRetriever`|[cohere.ipynb](/docs/docs/integrations/retrievers/cohere.ipynb)|
|Text Embedding|Embed strings to vectors|[embed](https://docs.cohere.com/reference/embed)|`from langchain.embeddings import CohereEmbeddings`|[cohere.ipynb](/docs/docs/integrations/text_embedding/cohere.ipynb)|
|Rerank Retriever|Rank strings based on relevance|[rerank](https://docs.cohere.com/reference/rerank)|`from langchain.retrievers.document_compressors import CohereRerank`|[cohere.ipynb](/docs/docs/integrations/retrievers/cohere-reranker.ipynb)|
## Quick copy examples
### Chat
```python
from langchain.chat_models import ChatCohere
from langchain.schema import HumanMessage
chat = ChatCohere()
messages = [HumanMessage(content="knock knock")]
print(chat(messages))
```
### LLM
There exists an Cohere LLM wrapper, which you can access with
See a [usage example](/docs/integrations/llms/cohere).
```python
from langchain.llms import Cohere
llm = Cohere(model="command")
print(llm.invoke("Come up with a pet name"))
```
## Text Embedding Model
There exists an Cohere Embedding model, which you can access with
```python
from langchain.embeddings import CohereEmbeddings
```
For a more detailed walkthrough of this, see [this notebook](/docs/integrations/text_embedding/cohere)
## Retriever
See a [usage example](/docs/integrations/retrievers/cohere-reranker).
### RAG Retriever
```python
from langchain.retrievers.document_compressors import CohereRerank
from langchain.chat_models import ChatCohere
from langchain.retrievers import CohereRagRetriever
from langchain.schema.document import Document
rag = CohereRagRetriever(llm=ChatCohere())
print(rag.get_relevant_documents("What is cohere ai?"))
```
### Text Embedding
```python
from langchain.chat_models import ChatCohere
from langchain.retrievers import CohereRagRetriever
from langchain.schema.document import Document
rag = CohereRagRetriever(llm=ChatCohere())
print(rag.get_relevant_documents("What is cohere ai?"))
```