quamernasim/Conversational-AI-System-using-Phi-2-PGVector-and-Llama-Index
Build a Conversational AI System that can answer questions by retrieving the answers from a document.
This system helps you create a smart chatbot that can answer questions based on your own documents. You feed it a collection of documents, and it allows users to ask questions and get precise answers drawn directly from those materials. This is ideal for anyone who needs to quickly find specific information within large sets of text, like researchers, customer support teams, or knowledge managers.
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Use this if you need an automated way for people to get answers directly from your specific set of documents, such as internal company policies, research papers, or product manuals.
Not ideal if you're looking for a general-purpose chatbot that can answer questions on any topic without relying on a predefined set of documents.
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Jupyter Notebook
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Last pushed
Feb 23, 2024
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