RAG-Based-LLM-Chatbot and RAG-based-ChatBot-System

These two tools are competitors, as both implement a RAG-based LLM chatbot system using open-source models, but with different architectural choices for embedding models and vector databases.

Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 12/25
Stars: 17
Forks: 10
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About RAG-Based-LLM-Chatbot

GURPREETKAURJETHRA/RAG-Based-LLM-Chatbot

RAG Based LLM Chatbot Built using Open Source Stack (Llama 3.2 Model, BGE Embeddings, and Qdrant running locally within a Docker Container)

This tool helps individuals who need to quickly extract information from their PDF documents. You upload your PDFs, and the application processes them, allowing you to ask questions and get answers directly from your document content using a conversational chatbot. It's ideal for researchers, analysts, or anyone who frequently works with large collections of PDF files and needs an easier way to find specific details.

document-management information-retrieval research-assistant knowledge-base-query pdf-analysis

About RAG-based-ChatBot-System

quoctata2911/RAG-based-ChatBot-System

RAG-based chatbot system using open-source models and context-aware chunking strategy

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