Files
langchain/libs/partners/openai
Anton Dubovik 3e2cb4e8a4 openai: embeddings: supported chunk_size when check_embedding_ctx_length is disabled (#23767)
Chunking of the input array controlled by `self.chunk_size` is being
ignored when `self.check_embedding_ctx_length` is disabled. Effectively,
the chunk size is assumed to be equal 1 in such a case. This is
suprising.

The PR takes into account `self.chunk_size` passed by the user.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-09-20 16:58:45 -07:00
..

langchain-openai

This package contains the LangChain integrations for OpenAI through their openai SDK.

Installation and Setup

  • Install the LangChain partner package
pip install langchain-openai
  • Get an OpenAI api key and set it as an environment variable (OPENAI_API_KEY)

LLM

See a usage example.

from langchain_openai import OpenAI

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureOpenAI

For a more detailed walkthrough of the Azure wrapper, see here

Chat model

See a usage example.

from langchain_openai import ChatOpenAI

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureChatOpenAI

For a more detailed walkthrough of the Azure wrapper, see here

Text Embedding Model

See a usage example

from langchain_openai import OpenAIEmbeddings

If you are using a model hosted on Azure, you should use different wrapper for that:

from langchain_openai import AzureOpenAIEmbeddings

For a more detailed walkthrough of the Azure wrapper, see here