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How to Build an AI Document Chatbot with Flask, React, ChatGPT, and Llama Index: Step-by-Step Guide
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Timestamps
00:00 – Introduction.
00:37 – Project structure
00:54 - Initializing React Application.
01:16 – Defining and installing React front-end dependencies
01:45 – Creating required pages and routing
02:29– Creating navbar component and setting up navigation links.
04:44 - Challenge to Add a Footer.
04:56 – Creating form to upload files to the backend using react js.
06:00 – Installing and setting up python virtual environment
06:41 – Defining, Installing and setting up an application using flask and flask-cors.
08:10 – Setting up a route and proxy to handle upload of files.
11:14 – Installing llama index
11:36 – Obtaining OpenAI API key
12:10 – Document indexing using llama-index
13:58 – Setting up the front-end chat logic and UI
16:32 – Setting backend functions to chat or query with indexed documents using llama-index
17:35 – getting data for testing our application
18:00 – Testing application, and Future Improvements and conclusion
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