mirror of
https://github.com/hwchase17/langchain
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100 lines
2.8 KiB
Plaintext
100 lines
2.8 KiB
Plaintext
# OpenAI
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>[OpenAI](https://en.wikipedia.org/wiki/OpenAI) is American artificial intelligence (AI) research laboratory
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> consisting of the non-profit `OpenAI Incorporated`
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> and its for-profit subsidiary corporation `OpenAI Limited Partnership`.
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> `OpenAI` conducts AI research with the declared intention of promoting and developing a friendly AI.
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> `OpenAI` systems run on an `Azure`-based supercomputing platform from `Microsoft`.
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>The [OpenAI API](https://platform.openai.com/docs/models) is powered by a diverse set of models with different capabilities and price points.
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>
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>[ChatGPT](https://chat.openai.com) is the Artificial Intelligence (AI) chatbot developed by `OpenAI`.
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## Installation and Setup
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- Install the Python SDK with
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```bash
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pip install openai
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```
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- Get an OpenAI api key and set it as an environment variable (`OPENAI_API_KEY`)
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- If you want to use OpenAI's tokenizer (only available for Python 3.9+), install it
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```bash
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pip install tiktoken
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```
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## LLM
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See a [usage example](/docs/integrations/llms/openai).
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```python
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from langchain.llms import OpenAI
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```
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If you are using a model hosted on `Azure`, you should use different wrapper for that:
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```python
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from langchain.llms import AzureOpenAI
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```
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For a more detailed walkthrough of the `Azure` wrapper, see [here](/docs/integrations/llms/azure_openai_example)
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## Chat model
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See a [usage example](/docs/integrations/chat_models/openai).
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```python
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from langchain.chat_models import ChatOpenAI
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```
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If you are using a model hosted on `Azure`, you should use different wrapper for that:
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```python
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from langchain.llms import AzureChatOpenAI
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```
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For a more detailed walkthrough of the `Azure` wrapper, see [here](/docs/integrations/chat_models/azure_openai)
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## Text Embedding Model
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See a [usage example](/docs/integrations/text_embedding/openai)
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```python
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from langchain.embeddings import OpenAIEmbeddings
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```
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## Tokenizer
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There are several places you can use the `tiktoken` tokenizer. By default, it is used to count tokens
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for OpenAI LLMs.
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You can also use it to count tokens when splitting documents with
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```python
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from langchain.text_splitter import CharacterTextSplitter
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CharacterTextSplitter.from_tiktoken_encoder(...)
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```
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For a more detailed walkthrough of this, see [this notebook](/docs/modules/data_connection/document_transformers/text_splitters/tiktoken)
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## Document Loader
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See a [usage example](/docs/integrations/document_loaders/chatgpt_loader).
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```python
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from langchain.document_loaders.chatgpt import ChatGPTLoader
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```
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## Retriever
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See a [usage example](/docs/integrations/retrievers/chatgpt-plugin).
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```python
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from langchain.retrievers import ChatGPTPluginRetriever
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```
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## Chain
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See a [usage example](/docs/guides/safety/moderation).
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```python
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from langchain.chains import OpenAIModerationChain
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```
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