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 0.1.12

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 0.1.12
File	Size	Uploaded
langchain_mistralai-0.1.12.tar.gz	13.3 kB	Jul 31, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.12
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.12-py3-none-any.whl 14.3 kB Jul 31, 2024	Python 3	none	any	Details

Total release size: 27.6 kB

Release files / langchain_mistralai-0.1.12.tar.gz

Download URL	langchain_mistralai-0.1.12.tar.gz
Size	13.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`d13a55aa84d7defd7a547919643188fd8c18d5a15ac139a1deebbe7a0889047b`
BLAKE2b-256 checksum How to use checksums	`204103f4f1f1faf16202778cd787a4843787dff07505f5e8ebab3793e06d540b`
Upload date	Jul 31, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.0 CPython/3.12.4`

Release files / langchain_mistralai-0.1.12-py3-none-any.whl

Download URL	langchain_mistralai-0.1.12-py3-none-any.whl
Size	14.3 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5dc5f3a63a646f848eb5007e410745a11667dcd2bc42939049a84f59f85a9737`
BLAKE2b-256 checksum How to use checksums	`a09203e99c797115a9ffc9e7057e47b07ac4b190600cd34063dd1d510271c857`
Upload date	Jul 31, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.0 CPython/3.12.4`