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 0.2.4

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 0.2.4
File	Size	Uploaded
langchain_mistralai-0.2.4.tar.gz	14.2 kB	Dec 18, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.2.4
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.2.4-py3-none-any.whl 15.2 kB Dec 18, 2024	Python 3	none	any	Details

Total release size: 29.4 kB

Release files / langchain_mistralai-0.2.4.tar.gz

Download URL	langchain_mistralai-0.2.4.tar.gz
Size	14.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`defc9befd7bf26a14e491950a2b3427b8f2d575c917851d665520848ae960055`
BLAKE2b-256 checksum How to use checksums	`8274ec18e3d7c02b8e95a21643d03ba075cca47c25584a9d5ff6a5d79ea2eda0`
Upload date	Dec 18, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.0.1 CPython/3.12.8`

Release files / langchain_mistralai-0.2.4-py3-none-any.whl

Download URL	langchain_mistralai-0.2.4-py3-none-any.whl
Size	15.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`06b66c5bd9b69e17cd4dc74df77b22c1ec058ee1d0f3b4e2b7159ea3d38ab98e`
BLAKE2b-256 checksum How to use checksums	`7cf3a4d6c69b74ce04644cfd37fc37a6b2ac7166dc990a61138825c983327a28`
Upload date	Dec 18, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.0.1 CPython/3.12.8`