title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned | license |
---|---|---|---|---|---|---|---|---|
RAGTheDocs |
👀 |
gray |
yellow |
gradio |
3.50.2 |
app.py |
false |
mit |
RAGTheDocs is an open-source library that allows you to one-click deploy retrieval augmented generation (RAG) on any readthedocs documentation on huggingface 🤗 spaces!
- Go to the example space
- Duplicate the space:
- Set your environment variables:
OPENAI_API_KEY
(required): Needed for the app to work, e.g.sk-...
READTHEDOCS_URL
(required): The url of the website you are interested in scraping (must be built with sphinx/readthedocs). e.g.https://orion.readthedocs.io
READTHEDOCS_VERSION
(optional): This is important if there exist multiple versions of the docs (e.g.en/v0.2.7
oren/latest
). If left empty, it will scrape all available versions (there can be many for open-source projects!).
-
Web Scraping and embeddings: RAGtheDocs automatically scrapes and embeds documentation from any website generated by ReadTheDocs/Sphinx using OpenAI embeddings
-
RAG Interface: It comes built-in with a gradio UI for users to interact with Buster 🤖 our RAG agent.
-
Customization Options: Tailor RAGtheDocs prompts and settings with customizable settings and options.
-
This is a quickly hacked together side-project. This code should be considered experimental at best.
-
This library will automatically call OpenAI APIs for you (for embeddings and chatGPT).
-
Use at your own risk!
⚠️