An integration package connecting Mistral and LangChain

langchain-mistralai This package contains the LangChain integrations for MistralAI through their mistralai SDK. Installation pip install -U langchain-mistralai Chat Models This package contains the ChatMistralAI class, which is the recommended way to interface with MistralAI models. To use, install the requirements, and configure your environment. export MISTRAL_API_KEY=your-api-key Then initialize from langchain_core.messages import HumanMessage from langchain_mistralai.chat_models import ChatMistralAI chat = ChatMistralAI(model="mistral-small") messages = [HumanMessage(content="say a brief hello")] chat.invoke(messages) ChatMistralAI also supports async and streaming functionality: await chat.ainvoke(messages) for chunk in chat.stream(messages): print(chunk.content, end="", flush=True) Embeddings With MistralAIEmbeddings, you can directly use the default model 'mistral-embed', or set a different one if available. Choose model embedding.mode