uzirox76/localRAG
a local RAG LLM with persistent database to query your PDFs
This tool helps you quickly get answers from a collection of your PDF documents by allowing you to ask questions in plain language. You put your PDFs into a designated folder, and then you can ask questions about their content, receiving synthesized answers. It's designed for professionals, researchers, or anyone who needs to extract information from many documents without manually reading through all of them.
No commits in the last 6 months.
Use this if you need to quickly query and retrieve specific information or summaries from a large collection of your own PDF documents.
Not ideal if you need to query public web content, generate creative text, or perform complex data analysis beyond information retrieval from your PDFs.
Stars
16
Forks
2
Language
Python
License
—
Category
Last pushed
Feb 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/uzirox76/localRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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