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 0.1.8

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 0.1.8
File	Size	Uploaded
langchain_mistralai-0.1.8.tar.gz	12.3 kB	Jun 4, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.8
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.8-py3-none-any.whl 13.0 kB Jun 4, 2024	Python 3	none	any	Details

Total release size: 25.3 kB

Release files / langchain_mistralai-0.1.8.tar.gz

Download URL	langchain_mistralai-0.1.8.tar.gz
Size	12.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`dc328f7aedfd9e88eeb79de5692dfc3907793b82ef59f0d6722d19c1c8bfcdc2`
BLAKE2b-256 checksum How to use checksums	`951e893835d540cbfb94bf585f9b6369ac582b7ff36852d92f17fffc43734845`
Upload date	Jun 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`

Release files / langchain_mistralai-0.1.8-py3-none-any.whl

Download URL	langchain_mistralai-0.1.8-py3-none-any.whl
Size	13.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`476ae501d6a62ebc1e612e11abff27ae4ac6b108834f34450c504295687f78a6`
BLAKE2b-256 checksum How to use checksums	`07529caa16fdda617ee915f0a6974a8ede08de6a39945a914dbe8bde80059d1c`
Upload date	Jun 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`