A chatbot-web to deeply analyze multiple video content
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Updated
Sep 26, 2025 - Jupyter Notebook
A chatbot-web to deeply analyze multiple video content
Document-Q&A using the GROQ and Llama3 is a sophisticated question-answering system designed to interactively retrieve and process information from PDF documents. The project leverages a Retrieval Augmented Generation (RAG) approach by integrating vector embeddings, similarity search, and language model inference.
A Question-Answering chatbot built using RAG (Retrieval-Augmented Generation) with conversation memory. This project uses LangChain, various LLM options, and vector stores to create an intelligent chatbot that can answer questions about Jessup Cellars winery.
The following repository consist python code of voice based Virtual Assistant.
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