My new favorite tech stack for improving LLM-results. See how I scrape data into an LLM-friendly format using ScraperAPI, then remove hallucinations for an AI-chatbot powered by RAG.

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⏱️ Timestamps:
00:00 Intro
03:06 File search (OpenAI)
03:58 Clean data collection (web scraping with ScraperAPI)
11:08 Vector store & File search (OpenAI)
14:42 Clean data benefits

#webdevelopment #reactjs #nextjs

Note that my videos may contain mistakes. Always verify yourself that your code is safe and does what you want it to do for your specific situation. You agree by watching the videos that you are solely responsible for any mistakes in your code.

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ByteGrad

Learn how to enhance an AI model by integrating a chatbot with web scraping and data processing tools. The process involves using ScraperAPI to collect and clean website data, then leveraging OpenAI's file search and response generation capabilities. This approach ensures the chatbot can provide accurate information based on the content of the website, reducing manual intervention and improving response quality.

NEW RAG-App Stack Beats Previous LLM-Stack (AI-Chatbots, OpenAI File Search, ScraperAPI)