zzstoatzz/raggy
scraping and querying documents for LLMs
This tool helps developers quickly gather information from websites or GitHub repositories and make it searchable using AI. It takes raw web pages or codebases as input, processes them, and then lets you ask questions against that content to retrieve relevant documents. This is ideal for developers building AI applications that need to understand and interact with specific external information.
No commits in the last 6 months. Available on PyPI.
Use this if you are a developer building an AI application that needs to answer questions or generate responses based on content from websites or GitHub repositories.
Not ideal if you are a non-developer looking for a no-code solution to chat with documents, or if your primary need is to process unstructured data beyond web content or code.
Stars
24
Forks
—
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 06, 2025
Commits (30d)
0
Dependencies
14
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/zzstoatzz/raggy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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