GitHub / Abdelrahman-Amen / Question_Answering_from_Any_URL_with_RAG
In this project, users can input any URL and ask a question related to its content. Using Retrieval-Augmented Generation (RAG) and LangChain, the app retrieves the most relevant answer from the webpage.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abdelrahman-Amen%2FQuestion_Answering_from_Any_URL_with_RAG
PURL: pkg:github/Abdelrahman-Amen/Question_Answering_from_Any_URL_with_RAG
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 1.84 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: about 2 months ago
Topics: api, dotenv, embeddings, genai, generative-ai, langchain, python, retreival-augmented-generation, streamlit, vectorstore, webbased