add private deployment on langchain (#277)

fern/pages/integrations/cohere-and-langchain/chat-on-langchain.mdx

@@ -283,4 +283,14 @@ llm = ChatCohere(cohere_api_key="COHERE_API_KEY",
 chain = load_summarize_chain(llm, chain_type="stuff")
 
 chain.invoke({"input_documents": docs})
+```
+
+### Using LangChain on Private Deployments
+
+You can use LangChain with privately deployed Cohere models. To use it, specify your model deployment URL in the `base_url` parameter.
+
+```python PYTHON
+llm = ChatCohere(base_url=<YOUR_DEPLOYMENT_URL>,
+                 cohere_api_key="COHERE_API_KEY",              
+                 model="MODEL_NAME")
 ```

fern/pages/integrations/cohere-and-langchain/embed-on-langchain.mdx

@@ -111,3 +111,12 @@ embeddings = BedrockEmbeddings(
 
 embeddings.embed_query("This is a content of the document")
 ```
+### Using LangChain on Private Deployments
+
+You can use LangChain with privately deployed Cohere models. To use it, specify your model deployment URL in the `base_url` parameter.
+
+```python PYTHON
+llm = CohereEmbeddings(base_url=<YOUR_DEPLOYMENT_URL>,
+                 cohere_api_key="COHERE_API_KEY",              
+                 model="MODEL_NAME")
+```

fern/pages/integrations/cohere-and-langchain/rerank-on-langchain.mdx

@@ -84,3 +84,13 @@ citations = docs[-1].metadata['citations']
 print("Citations:")
 print(citations)
 ```
+
+### Using LangChain on Private Deployments
+
+You can use LangChain with privately deployed Cohere models. To use it, specify your model deployment URL in the `base_url` parameter.
+
+```python PYTHON
+llm = CohereRerank(base_url=<YOUR_DEPLOYMENT_URL>,
+                 cohere_api_key="COHERE_API_KEY",              
+                 model="MODEL_NAME")
+```