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# Deploy Mistral Large to Azure and create a conversation with Python and LangChain

**[Neon](https://daily.dev/sources/neontech)** · 4 min read · 0 upvotes · 0 comments

## Summary

Mistral AI has launched Mistral Large, its most advanced LLM with strong multilingual reasoning, a 32k token context window, and top benchmark scores in coding (MBPP) and math (GSM8K). This guide walks through deploying Mistral Large on Azure AI Studio via the Mistral AI–Microsoft partnership, then using it with LangChain in Python to build a conversation chain. Steps cover setting up an Azure AI project, obtaining the API endpoint and key, creating a Python virtual environment, installing dependencies, and writing a LangChain conversation chain in a main.py file.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://neon.com/blog/deploy-mistral-large-to-azure-and-chat-with-langchain>

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---

Tags: [#python](https://daily.dev/tags/python), [#llm](https://daily.dev/tags/llm), [#azure](https://daily.dev/tags/azure), [#langchain](https://daily.dev/tags/langchain), [#mistral-ai](https://daily.dev/tags/mistral-ai)

[View this post on daily.dev](https://daily.dev/posts/deploy-mistral-large-to-azure-and-create-a-conversation-with-python-and-langchain-bxedf9s0b)

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