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title: "Discussion on \"Building a RAG-Powered Chatbot with Streamlit, OpenAI, and Google Cloud\" | Hashnode"
description: "Discussion on \"Building a RAG-Powered Chatbot with Streamlit, OpenAI, and Google Cloud\". Deploying a Retrieval-Augmented Generation (RAG) application to the cloud can be a challenging yet rewarding endeavor. In this blog post, I'll walk you through creating and deploying a document-based chatbot that allows users to upload documents, pro..."
url: "https://hashnode.com/posts/building-a-rag-powered-chatbot-with-streamlit-openai-and-google-cloud/67e035ad2f69b06ad0b1a8f2"
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# [Building a RAG-Powered Chatbot with Streamlit, OpenAI, and Google Cloud](https://datavishwa.hashnode.dev/building-a-rag-powered-chatbot-with-streamlit-openai-and-google-cloud?utm_source=hashnode&utm_medium=feed)

Deploying a Retrieval-Augmented Generation (RAG) application to the cloud can be a challenging yet rewarding endeavor. In this blog post, I'll walk you through creating and deploying a document-based chatbot that allows users to upload documents, pro...

Mar 23, 2025 · 4 min read · datavishwa.hashnode.dev  
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## Written by

[Govinda Bobade](https://hashnode.com/@datavishwa)

@datavishwa

  
[View profile](https://hashnode.com/@datavishwa)

Principal Data Scientist | AI & Machine Learning | Large Language Models

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