muaaz-ur-habibi/fthedocs
A documentation querying engine, useful for scanning the docs in a question-answer like manner
This tool helps software developers quickly get answers from technical documentation. You feed it your product's raw text or JSON documentation files, and it allows you to ask questions about the content in plain language. It then provides relevant answers extracted directly from your provided documents, saving time spent manually searching through long manuals.
No commits in the last 6 months.
Use this if you are a developer or technical user who frequently needs to find specific information within large sets of documentation and prefer a question-and-answer interface over manual searching.
Not ideal if you need a solution that can scrape documentation from websites, handle various file types like PDFs, or offer advanced AI capabilities beyond direct retrieval from provided text.
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12
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Language
Python
License
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Category
Last pushed
Oct 24, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/muaaz-ur-habibi/fthedocs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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