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:

# For async...
await chat.ainvoke(messages)

# For streaming...
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.model = 'mistral-embed'

Simple query

res_query = embedding.embed_query("The test information")

Documents

res_document = embedding.embed_documents(["test1", "another test"])

Metadata

Release files for langchain-mistralai 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for langchain-mistralai 0.2.1
File	Size	Uploaded
langchain_mistralai-0.2.1.tar.gz	13.9 kB	Oct 31, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.1
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.1-py3-none-any.whl 14.8 kB Oct 31, 2024	Python 3	none	any	Details

Total release size: 28.8 kB

Release files / langchain_mistralai-0.2.1.tar.gz

Download URL	langchain_mistralai-0.2.1.tar.gz
Size	13.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`cd1553396b96cce8d8e8972a6f10bf257ea303d345339a7055504901930daa82`
BLAKE2b-256 checksum How to use checksums	`d46c436691d6c1bc3de30a039f4156a9e21b317faff2a8758d5024de47b9aecf`
Upload date	Oct 31, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.7`

Release files / langchain_mistralai-0.2.1-py3-none-any.whl

Download URL	langchain_mistralai-0.2.1-py3-none-any.whl
Size	14.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`77d79f339f11e96cb8e433160c1abe6f88ee7a8582c2f82a9412a49e3a036664`
BLAKE2b-256 checksum How to use checksums	`2dda4f3e1fac86301fefd91780f28ece32766b8b4e88b246a37252827023f0fc`
Upload date	Oct 31, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.7`