krisograbek/LangChain_Tutorials

A collection of Python notebooks with tutorials for the LangChain Library.

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This collection of Python notebooks helps developers learn how to build applications that process and analyze text using the LangChain library. It takes in various forms of text data, like YouTube video transcripts or podcast audio, and helps you create tools that can answer questions or generate content from them. This is for software developers and data scientists who want to integrate natural language processing capabilities into their projects.

No commits in the last 6 months.

Use this if you are a developer looking for practical examples and tutorials to quickly get started with building applications using the LangChain library.

Not ideal if you are a non-developer seeking a ready-to-use application for text analysis without writing code.

natural-language-processing application-development text-analysis machine-learning-engineering software-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Jul 20, 2024

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