RAG-Based-LLM-Chatbot and llm-chatbot-multimodal-rag-bioasq

Both are distinct, standalone chatbot projects using RAG with different LLMs and datasets, making them competitors in the "modular-rag-frameworks" category.

RAG-Based-LLM-Chatbot
39
Emerging
llm-chatbot-multimodal-rag-bioasq
32
Emerging
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 17/25
Maintenance 2/25
Adoption 3/25
Maturity 15/25
Community 12/25
Stars: 17
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
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 llm-chatbot-multimodal-rag-bioasq

dev-kanika/llm-chatbot-multimodal-rag-bioasq

Multimodal chatbot project using five LLM-based approaches including RAG, PEFT, and prompt engineering, built on the BioASQ dataset for biomedical QA.

Related comparisons

RAG-Based-LLM-Chatbot and PDF-RAG-with-Llama2-and-Gradio RAG-Based-LLM-Chatbot and RAG-based-ChatBot-System RAG-Based-LLM-Chatbot and openvino-llm-chatbot-rag RAG-Based-LLM-Chatbot and LLM-RAG-Bot RAG-Based-LLM-Chatbot and RAG-based-ChatBot-System

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