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 0.2.3

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 0.2.3
File	Size	Uploaded
langchain_mistralai-0.2.3.tar.gz	14.0 kB	Dec 2, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.3
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.3-py3-none-any.whl 15.0 kB Dec 2, 2024	Python 3	none	any	Details

Total release size: 29.0 kB

Release files / langchain_mistralai-0.2.3.tar.gz

Download URL	langchain_mistralai-0.2.3.tar.gz
Size	14.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`2033af92fd82ac7915664885a94579edec19feb3122525fff8dd2787e174c087`
BLAKE2b-256 checksum How to use checksums	`2e3e2af1ffae70385ebc50e385b34bed6b115660142d355a8bb64a4334dfd5b1`
Upload date	Dec 2, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.7`

Release files / langchain_mistralai-0.2.3-py3-none-any.whl

Download URL	langchain_mistralai-0.2.3-py3-none-any.whl
Size	15.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`960abdd540af527da7e4d68b9316355ece6a740a60d145f32e4e19c1a9fe4d3a`
BLAKE2b-256 checksum How to use checksums	`65b2657427f7216613af99bf1ca1171f348151c1408bd1a41b331a957a908aeb`
Upload date	Dec 2, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.7`