GitHub / ZohaibCodez / document-qa-rag-system
A simple Retrieval-Augmented Generation (RAG) project built with LangChain and Streamlit. Upload documents (PDF/TXT) and interact with them using natural language questions powered by embeddings and vector search.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZohaibCodez%2Fdocument-qa-rag-system
PURL: pkg:github/ZohaibCodez/document-qa-rag-system
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 23.3 MB
Dependencies parsed at: Pending
Created at: 2 months ago
Updated at: 2 months ago
Pushed at: 2 months ago
Last synced at: 2 months ago
Topics: ai, document-search, faiss, langchain, nlp, pdf, python, question-answering, rag, streamlit, vector-store