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.
The following repository consist python code of voice based Virtual Assistant.
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.
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