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 0.1.2

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 0.1.2
File	Size	Uploaded
langchain_mistralai-0.1.2.tar.gz	10.4 kB	Apr 11, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.2
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.2-py3-none-any.whl 11.2 kB Apr 11, 2024	Python 3	none	any	Details

Total release size: 21.6 kB

Release files / langchain_mistralai-0.1.2.tar.gz

Download URL	langchain_mistralai-0.1.2.tar.gz
Size	10.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`5b30dca47e8e3eaea7b1a40962c33588cd5245479dba6464eb3a83d850466c77`
BLAKE2b-256 checksum How to use checksums	`9a61f993187ec6e3f34e295a5dc8a1ed5af7e6377b7f8c53d29f3d15a7fd812a`
Upload date	Apr 11, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`

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

Download URL	langchain_mistralai-0.1.2-py3-none-any.whl
Size	11.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`39889ee5aff37e15760fef245d3e5e5382183adeb0b46fc2060ba07b1d97c694`
BLAKE2b-256 checksum How to use checksums	`222af4dc2a26ab5b4951641799ce2ba477d5f1544e473ba6c3e997aeb0ea1d2f`
Upload date	Apr 11, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.3`