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This is a Streamlit-based application designed to answer questions about CUDA, GPU acceleration, and parallel computing by leveraging the power of OpenAI's language model and Milvus for vector storage and retrieval.

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Rishika70/AI_Bot

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AI_Bot

This is a Streamlit-based application designed to answer questions about CUDA, GPU acceleration, and parallel computing by leveraging the power of OpenAI's language model and Milvus for vector storage and retrieval.

Features

Question Answering: Ask questions about CUDA, GPU acceleration, or parallel computing, and get relevant answers from the CUDA documentation.

Vector Storage: Uses Milvus to store and retrieve document vectors for efficient similarity search.

Streamlit Interface: Provides an easy-to-use web interface for asking questions and displaying results.

Requirements

Python 3.7 or higher

Streamlit

Requests

BeautifulSoup

langchain

langchain_openai

langchain.vectorstores

langchain.embeddings

langchain.text_splitter

langchain.document_loaders

Milvus

langchain_community

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This is a Streamlit-based application designed to answer questions about CUDA, GPU acceleration, and parallel computing by leveraging the power of OpenAI's language model and Milvus for vector storage and retrieval.

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