Add Cohere Notebook Samples (Azure#3125)

.github/CODEOWNERS

@@ -259,6 +259,11 @@
 /sdk/python/featurestore_sample/notebooks/sdk_only/3.\ Enable\ recurrent\ materialization\ and\ run\ batch\ inference.ipynb @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /sdk/python/featurestore_sample/notebooks/sdk_only/4.\ Enable\ online\ store\ and\ run\ online\ inference.ipynb @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /sdk/python/featurestore_sample/notebooks/sdk_only/5.\ Develop\ a\ feature\ set\ with\ custom\ source.ipynb @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
+/sdk/python/foundation-models/cohere/cohere-aisearch-rag.ipynb @stewart-co @kseniia-cohere  
+/sdk/python/foundation-models/cohere/cohere_faiss_langchain_embed.ipynb @stewart-co @kseniia-cohere  
+/sdk/python/foundation-models/cohere/cohere-aisearch-langchain-rag.ipynb @stewart-co @kseniia-cohere  
+sdk/python/foundation-models/cohere/command_faiss_langchain.ipynb @stewart-co @kseniia-cohere  
+sdk/python/foundation-models/cohere/command_tools-langchain.ipynb @stewart-co @kseniia-cohere  
 /sdk/python/featurestore_sample/notebooks/sdk_only/7.\ Develop\ a\ feature\ set\ using\ Domain\ Specific\ Language\ DSL @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /sdk/python/jobs/automl-standalone-jobs/automl-classification-task-bankmarketing/automl-classification-task-bankmarketing-serverless.ipynb @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  
 /sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb @sdgilley @msakande @Blackmist @ssalgadodev @lgayhardt @fbsolo-ms1  

sdk/python/foundation-models/cohere/README.md

@@ -0,0 +1,22 @@
+## Cohere model samples
+
+### Basic samples
+
+Sample | Description | SDKs
+--|--|--
+[webrequests.ipynb](./webrequests.ipynb)|Use Command R family of LLMs with the native Python packages.|`urllib.request`, `json`
+[cohere-cmdR.ipynb](./cohere-cmdR.ipynb)|Use Command R family of LLMs with the Cohere python SDK.|`cohere`
+[cohere-embed.ipynb](./cohere-embed.ipynb)| Use Embedding models with the Cohere python SDK.|`cohere`
+[langchain.ipynb](./langchain.ipynb)|Use Command R family of LLMs with the LangChain SDK and Cohere's LangChain integration.|`langchain`, `langchain_cohere` 
+[litellm.ipynb](./litellm.ipynb)|Use Command R family of LLMs with the LiteLLM SDK |`litellm` 
+[openaisdk.ipynb](./openaisdk.ipynb)|Use Command R family of LLMs with the Open AI SDK. Note that this is exprimental and can break if there is breaking change with the OpenAI APIs. |`openai`
+
+
+### Retrieval Augmented Generation (RAG) and Tool-Use samples
+Sample | Description | SDKs
+--|--|--
+[cohere_faiss_langchain_embed.ipynb](./cohere_faiss_langchain_embed.ipynb)|Create a local (FAISS) vector index using Cohere embeddings - Langchain|`langchain`, `langchain_cohere`
+[command_faiss_langchain.ipynb](./command_faiss_langchain.ipynb)|Use Cohere Command R/R+ to answer questions from data in local (FAISS) vector index - Langchain|`langchain`, `langchain_cohere`
+[cohere-aisearch-langchain-rag.ipynb](./cohere-aisearch-langchain-rag.ipynb)|Use Cohere Command R/R+ to answer questions from data in AI search vector index - Langchain|`langchain`, `langchain_cohere` 
+[cohere-aisearch-rag.ipynb](./cohere-aisearch-rag.ipynb)|Use Cohere Command R/R+ to answer questions from data in AI search vector index - Cohere SDK| `cohere`, `azure_search_documents`
+[command_tools-langchain.ipynb](./command_tools-langchain.ipynb)|Command R+ tool/function calling using LangChain|`cohere`, `langchain`, `langchain_cohere`