GitHub / Abdelrahman-Amen / Simple_PDF_RAG
This project showcases how Retrieval-Augmented Generation (RAG) can be applied to create an efficient and user-friendly system for querying large text documents. With this approach, users can easily extract and interact with relevant information from PDFs in real time.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelrahman-Amen%2FSimple_PDF_RAG
PURL: pkg:github/Abdelrahman-Amen/Simple_PDF_RAG
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 1.87 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 4 months ago
Topics: api, dotenv, genai, generative-ai, langhchain, python, retreival-augmented-generation, streamlit