https://github.com/pjirsa/langchain-quickstart

Jupyter notebook samples to quickly get started with OpenAI and LangChain
https://github.com/pjirsa/langchain-quickstart

azure langchain openai

Last synced: about 2 months ago
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Jupyter notebook samples to quickly get started with OpenAI and LangChain

• Host: GitHub
• URL: https://github.com/pjirsa/langchain-quickstart
• Owner: pjirsa
• Created: 2023-07-05T18:14:19.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-06T19:35:21.000Z (about 1 year ago)
• Last Synced: 2024-10-14T13:44:11.503Z (2 months ago)
• Topics: azure, langchain, openai
• Language: Jupyter Notebook
• Homepage:
• Size: 33.2 KB
• Stars: 7
• Watchers: 3
• Forks: 6
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Langchain Quickstart

Use this template repo to quickly create a devcontainer enabled environment for experimenting with [Langchain](https://python.langchain.com/docs/get_started/quickstart) 

and [OpenAI](https://openai.com/).

Included are several Jupyter notebooks that implement sample code found in the Langchain Quickstart guide.

1. demo.ipynb - Basic sample, verifies you have valid API key and can call the OpenAI service.

1. chains.ipynb - Your first (simple) chain.

1. embeddings.ipynb - Sample of generating embeddings for given prompt (from [Getting Started with LangChain: A Beginner’s Guide to Building LLM-Powered Applications](https://towardsdatascience.com/getting-started-with-langchain-a-beginners-guide-to-building-llm-powered-applications-95fc8898732c)).

## Setup

- Click [Use this template](https://github.com/pjirsa/langchain-quickstart/generate)

- Clone to your local machine -OR- open in Codespace

- In a terminal, run `pip install -r requirements.txt`

- Create a '.env' file at root of repo

- Add `OPENAI_API_KEY=""` to .env file

## .env setup

### For OpenAI

- Create a '.env' file at root of repo

- Add `OPENAI_API_KEY=""` to .env file

### For Azure OpenAI

```

# Use for Azure OpenAI

OPENAI_API_KEY=""

OPENAI_API_BASE="https://.openai.azure.com/"

OPENAI_API_TYPE="azure"

OPENAI_API_VERSION= "2023-05-15"

```