Updated langchain-core dependency to resolve conflict. (#200)

* Updated langchain-core dependency to resolve conflict.

* Updated README for Mistral instructions.

* updated the env.example file

* updated README

* accepted incoming changes from upstream

Author: hemantmalik

example-apps/chatbot-rag-app/README.md

@@ -119,12 +119,12 @@ export GOOGLE_APPLICATION_CREDENTIALS=<path-json-service-account>
 
 ### Mistral AI
 
-To use Mistral AI you need to set the following environment variables:
+To use Mistral AI you need to set the following environment variables. The app has been tested with Mistral Large Model deployed through Microsoft Azure. More information [here](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/deploy-models-mistral).
 
 ```
 export LLM_TYPE=mistral
 export MISTRAL_API_KEY=...
-export MISTRAL_API_ENDPOINT=...  # optional
+export MISTRAL_API_ENDPOINT=...  # should be of the form https://<endpoint>.<region>.inference.ai.azure.com
 export MISTRAL_MODEL=...  # optional
 ```
 

example-apps/chatbot-rag-app/api/llm_integrations.py

@@ -64,7 +64,7 @@ def init_bedrock(temperature):
 def init_mistral_chat(temperature):
     MISTRAL_API_ENDPOINT = os.getenv("MISTRAL_API_ENDPOINT")
     MISTRAL_API_KEY = os.getenv("MISTRAL_API_KEY")
-    MISTRAL_MODEL = os.getenv("MISTRAL_MODEL")
+    MISTRAL_MODEL = os.getenv("MISTRAL_MODEL", "Mistral-large")
     kwargs = {
         "mistral_api_key": MISTRAL_API_KEY,
         "temperature": temperature,