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.
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.
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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