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 0.1.13

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 0.1.13
File	Size	Uploaded
langchain_mistralai-0.1.13.tar.gz	13.9 kB	Sep 3, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.13
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.13-py3-none-any.whl 14.9 kB Sep 3, 2024	Python 3	none	any	Details

Total release size: 28.8 kB

Release files / langchain_mistralai-0.1.13.tar.gz

Download URL	langchain_mistralai-0.1.13.tar.gz
Size	13.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`a6a3039ff82af72613db8855858e61ec5e819d76c31fed9506cc674871bd9739`
BLAKE2b-256 checksum How to use checksums	`dc1fe3ccc091dbcb5f03d7f6ff90c21295cc9e013f4b6c325ae05c37401e64cc`
Upload date	Sep 3, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.5`

Release files / langchain_mistralai-0.1.13-py3-none-any.whl

Download URL	langchain_mistralai-0.1.13-py3-none-any.whl
Size	14.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`1286c204ed668c021ee7dde60e391b628ef48533599e7c7423394ac15c11c78e`
BLAKE2b-256 checksum How to use checksums	`d5479e998516233cacd84ad050608407551fc94fc2179703e0ea9d95386e2160`
Upload date	Sep 3, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.5`