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 0.1.10

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 0.1.10
File	Size	Uploaded
langchain_mistralai-0.1.10.tar.gz	12.3 kB	Jul 12, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for langchain-mistralai 0.1.10
File	Interpreter	ABI	Platform	Reset
langchain_mistralai-0.1.10-py3-none-any.whl 13.2 kB Jul 12, 2024	Python 3	none	any	Details

Total release size: 25.5 kB

Release files / langchain_mistralai-0.1.10.tar.gz

Download URL	langchain_mistralai-0.1.10.tar.gz
Size	12.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`fbee929b891b3b6f4aa622fbe4b23f750447a831c823d459974787d825e16eaf`
BLAKE2b-256 checksum How to use checksums	`38aa7dac62c20e2eba87d8abfc3a606801aa380a7772df811dc18964516446a5`
Upload date	Jul 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.0 CPython/3.12.4`

Release files / langchain_mistralai-0.1.10-py3-none-any.whl

Download URL	langchain_mistralai-0.1.10-py3-none-any.whl
Size	13.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`c0507f744cbb8d46b34b62170f977e3afe9c71606483a45b50c4b88f00cb0be5`
BLAKE2b-256 checksum How to use checksums	`d1077e4c0db4a6018c40f4e03e9244404c4a829d65171e7c906394313567fc2a`
Upload date	Jul 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.0 CPython/3.12.4`