amajji/llm-rag-chatbot-with-langchain
Development and deployment on AWS of a question-answer LLM model using Llama2 with 7B parameters and RAG with LangChain
This project helps businesses and organizations build their own question-answering chatbots using their specific documents or knowledge bases. You provide a collection of your own documents (like PDFs), and the chatbot will use this information to answer user questions accurately. This is ideal for knowledge managers, support teams, or anyone needing to create an intelligent assistant grounded in proprietary information.
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Use this if you need to create a custom chatbot that can answer questions based on your own internal documents, rather than relying solely on a large language model's general training data.
Not ideal if you're looking for a simple, off-the-shelf chatbot solution that doesn't require customization with your own data or if you lack the technical expertise for deployment on cloud platforms like AWS.
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Python
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Last pushed
Mar 05, 2025
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