Universal-PDF-RAG-Chatbot and doc_RAG
Both tools are competitors, offering similar RAG-powered document Q&A chatbot applications with Python, LangChain, and vector stores, though Universal-PDF-RAG-Chatbot appears to be a more feature-rich implementation with support for multi-PDF ingestion and various inference backends.
Maintenance
10/25
Adoption
2/25
Maturity
9/25
Community
13/25
Maintenance
2/25
Adoption
4/25
Maturity
9/25
Community
13/25
Stars: 2
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 7
Forks: 2
Downloads: —
Commits (30d): 0
Language: JavaScript
License: MIT
No Package
No Dependents
Stale 6m
No Package
No Dependents
About Universal-PDF-RAG-Chatbot
Ratnesh-181998/Universal-PDF-RAG-Chatbot
RAG-powered Document Q&A app using Python, Streamlit, LangChain, FAISS, and HuggingFace embeddings. Supports multi-PDF ingestion, vector search, and high-speed Llama-3/Groq & OpenAI inference for accurate, context-aware answers. Modern Generative AI chatbot for knowledge retrieval.
About doc_RAG
Arraj2611/doc_RAG
Document based RAG QnA Chatbot Application
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