Open-RAGA and Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

Open-RAGA
32
Emerging
Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-
23
Experimental
Maintenance 10/25
Adoption 2/25
Maturity 7/25
Community 13/25
Maintenance 2/25
Adoption 2/25
Maturity 7/25
Community 12/25
Stars: 2
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 2
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No License No Package No Dependents
No License Stale 6m No Package No Dependents

About Open-RAGA

ak-123459/Open-RAGA

This project implements a Retrieval-Augmented Generation (RAG) based chatbot designed to handle university-related queries using natural language understanding. It combines semantic search with generative AI to provide precise, context-aware answers to students, faculty, and visitors.

About Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

devpatel0005/Intelligent-Document-Question-Answering-System-Using-Retrieval-Augmented-Generation-RAG-

This repository showcases a simple yet powerful chatbot built using the LangChain framework in a Jupyter Notebook environment. The chatbot leverages modular LangChain components for conversational AI, making it flexible and easy to integrate with various backends or memory stores.

Related comparisons

Open-RAGA and rag-chatbot Open-RAGA and agentic-rag-chatbot Open-RAGA and rag-chatbot Open-RAGA and rag-chatbot

Scores updated daily from GitHub, PyPI, and npm data. How scores work