Harrison/ver 044 (#400)

docs/examples/prompts.rst

@@ -14,6 +14,14 @@ The examples here all highlight how to work with LLMs and prompts.
 `Custom LLM <prompts/custom_llm.ipynb>`_: How to create and use a custom LLM class, in case you have an LLM not from one of the standard providers (including one that you host yourself).
 
 
+**Specific LLM Integrations**
+
+`Huggingface Hub <prompts/huggingface_hub.ipynb>`_: Covers how to connect to LLMs hosted on HuggingFace Hub.
+
+`Azure OpenAI <prompts/azure_openai_example.ipynb>`_: Covers how to connect to Azure-hosted OpenAI Models.
+
+
+
 **Prompts**
 
 `Prompt Management <prompts/prompt_management.ipynb>`_: A walkthrough of all the functionality LangChain supports for working with prompts.

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain"
-version = "0.0.43"
+version = "0.0.44"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"