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 0.1.2rc1

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 0.1.2rc1
File	Size	Uploaded
langchain_mistralai-0.1.2rc1.tar.gz	10.3 kB	Apr 10, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.2rc1
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.2rc1-py3-none-any.whl 11.1 kB Apr 10, 2024	Python 3	none	any	Details

Total release size: 21.5 kB

Release files / langchain_mistralai-0.1.2rc1.tar.gz

Download URL	langchain_mistralai-0.1.2rc1.tar.gz
Size	10.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`476d07c28689ea027b1fc7513044102ecd2290d2b74d65e55e2120d39f131ae5`
BLAKE2b-256 checksum How to use checksums	`92cf7a48e785f3483eb2718d1db57719ba959df23365de83152c1f0906b1a15c`
Upload date	Apr 10, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.2`

Release files / langchain_mistralai-0.1.2rc1-py3-none-any.whl

Download URL	langchain_mistralai-0.1.2rc1-py3-none-any.whl
Size	11.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`422915ee5096d9d0b37c2ba6cd004330034a6d83625fef477e6e0d1de03c0a7f`
BLAKE2b-256 checksum How to use checksums	`63321e0203443a67a362f75834727bdaf3e6302fa0d0f9871909930680f2f7ab`
Upload date	Apr 10, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.2`