pjirsa/langchain-quickstart

Jupyter notebook samples to quickly get started with OpenAI and LangChain

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/ 100
Experimental

This project helps developers quickly set up an environment for building applications with large language models (LLMs) from OpenAI using the LangChain framework. It provides ready-to-use Jupyter notebooks that demonstrate fundamental interactions, such as verifying API access, creating simple processing chains, and generating text embeddings. This is for software developers or data scientists who are looking to prototype or experiment with LLM-powered applications.

No commits in the last 6 months.

Use this if you are a developer looking for a rapid way to explore LangChain and OpenAI capabilities without extensive environment setup.

Not ideal if you are an end-user without programming experience, as this project requires coding and development environment setup.

LLM-development AI-prototyping natural-language-processing software-development data-science-tooling
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 16 / 25

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Jupyter Notebook

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Last pushed

Dec 06, 2023

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