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docs: update cohere documentation (#19700)

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**Description:** Update of Cohere documentation (main provider page)
**Issue:** After addition of the Cohere partner package, the
documentation was out of date
**Dependencies:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
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aditya thomas 2024-04-03 03:46:48 +05:30 committed by GitHub
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21
docs/docs/integrations/providers/cohere.mdx
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@ -16,7 +16,7 @@ Get a [Cohere api key](https://dashboard.cohere.ai/) and set it as an environmen
|API|description|Endpoint docs|Import|Example usage|
|---|---|---|---|---|
|Chat|Build chat bots|[chat](https://docs.cohere.com/reference/chat)|`from langchain_cohere import ChatCohere`|[cohere.ipynb](/docs/integrations/chat/cohere)|
|LLM|Generate text|[generate](https://docs.cohere.com/reference/generate)|`from langchain_cohere import Cohere`|[cohere.ipynb](/docs/integrations/llms/cohere)|
|LLM|Generate text|[generate](https://docs.cohere.com/reference/generate)|`from langchain_cohere.llms import Cohere`|[cohere.ipynb](/docs/integrations/llms/cohere)|
|RAG Retriever|Connect to external data sources|[chat + rag](https://docs.cohere.com/reference/chat)|`from langchain.retrievers import CohereRagRetriever`|[cohere.ipynb](/docs/integrations/retrievers/cohere)|
|Text Embedding|Embed strings to vectors|[embed](https://docs.cohere.com/reference/embed)|`from langchain_cohere import CohereEmbeddings`|[cohere.ipynb](/docs/integrations/text_embedding/cohere)|
|Rerank Retriever|Rank strings based on relevance|[rerank](https://docs.cohere.com/reference/rerank)|`from langchain.retrievers.document_compressors import CohereRerank`|[cohere.ipynb](/docs/integrations/retrievers/cohere-reranker)|
@ -30,19 +30,22 @@ from langchain_cohere import ChatCohere
from langchain_core.messages import HumanMessage
chat = ChatCohere()
messages = [HumanMessage(content="knock knock")]
print(chat(messages))
print(chat.invoke(messages))
```
Usage of the Cohere [chat model](/docs/integrations/chat/cohere)
### LLM
```python
from langchain_cohere import Cohere
from langchain_cohere.llms import Cohere
llm = Cohere(model="command")
llm = Cohere()
print(llm.invoke("Come up with a pet name"))
```
Usage of the Cohere (legacy) [LLM model](/docs/integrations/llms/cohere)
### ReAct Agent
```python
@ -65,7 +68,7 @@ agent = create_cohere_react_agent(
prompt
)
agent_executor = AgentExecutor(agent=agent, tools=[internet_search], verbose=True)```
agent_executor = AgentExecutor(agent=agent, tools=[internet_search], verbose=True)
agent_executor.invoke({
"input": "In what year was the company that was founded as Sound of Music added to the S&P 500?",
@ -83,6 +86,8 @@ rag = CohereRagRetriever(llm=ChatCohere())
print(rag.get_relevant_documents("What is cohere ai?"))
```
Usage of the Cohere [RAG Retriever](/docs/integrations/retrievers/cohere)
### Text Embedding
```python
@ -91,3 +96,9 @@ from langchain_cohere import CohereEmbeddings
embeddings = CohereEmbeddings(model="embed-english-light-v3.0")
print(embeddings.embed_documents(["This is a test document."]))
```
Usage of the Cohere [Text Embeddings model](/docs/integrations/text_embedding/cohere)
### Reranker
Usage of the Cohere [Reranker](/docs/integrations/retrievers/cohere-reranker)