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 0.1.1

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 0.1.1
File	Size	Uploaded
langchain_mistralai-0.1.1.tar.gz	10.0 kB	Apr 9, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.1
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.1-py3-none-any.whl 10.9 kB Apr 9, 2024	Python 3	none	any	Details

Total release size: 20.9 kB

Release files / langchain_mistralai-0.1.1.tar.gz

Download URL	langchain_mistralai-0.1.1.tar.gz
Size	10.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`3c6323154996804f09db28f90e8585bfd271bd1a27babe7c548b0a847b8d2825`
BLAKE2b-256 checksum How to use checksums	`762940d54e507e6fef1cd713ddee2a0f9996a2f0b6e380a13540bca5c633a819`
Upload date	Apr 9, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.2`

Release files / langchain_mistralai-0.1.1-py3-none-any.whl

Download URL	langchain_mistralai-0.1.1-py3-none-any.whl
Size	10.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`1e5fadd83d26df684dcf89a2755d9befb9b82445ce162b4af85aaa608b37ca99`
BLAKE2b-256 checksum How to use checksums	`841ec4c2954ed34d9d5cbbbea980fde1a230147de8ad738e6eeaf5e5c1b941a3`
Upload date	Apr 9, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.0.0 CPython/3.12.2`