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## Introduction π
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RAGTheDocs is an open-source library that allows you to
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##
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- **Web Scraping and Analysis:** RAGtheDocs automatically scrapes and embeds documentation from any website generated by ReadTheDocs/Sphinx
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TODO
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## Introduction π
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RAGTheDocs is an open-source library that allows you to deploy retrieval augmented generation (RAG) on any readthedocs documentation with a one-click deploy on huggingface spaces!
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## Usage
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1) Go to the [example space](https://huggingface.co/spaces/jerpint/RAGTheDocs)
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2) Duplicate the space:
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![image](https://github.com/jerpint/buster/assets/18450628/0c89038c-c3af-4c1f-9d3b-9b4d83db4910)
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3) Set your environment variables:
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* OPENAI_API_KEY: Needed for the app to work, e.g. `sk-...`
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* READTHEDOCS_URL: The url of the website you are interested in scraping
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* READTHEDOCS_VERSION: This is important only if there exist multiple versions of the docs (e.g. "en/v0.2.7" or "en/latest"). If left empty, it will scrape all available versions.
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**WARNING** This library is experimental and automatically calls OpenAI APIs for you. Use at your own risk! β οΈ
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## Features π
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- **Web Scraping and embeddings:** RAGtheDocs automatically scrapes and embeds documentation from any website generated by ReadTheDocs/Sphinx using OpenAI embeddings
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- **RAG Interface:** It comes built-in with a gradio UI for users to interact with [Buster π€](github.com/jerpint/buster) our RAG agent.
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- **Customization Options:** Tailor RAGtheDocs to your needs with customizable settings and options.
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