Realizza il Tuo Agente AI Intelligente per Gestire Email e Documenti (Da Zero in Python)
Join my AI Academy: https://rizzo-ai-academy.up.railway.app/ Want to build AI solutions? https://inferentia.xyz IG: / simorizzo_ai In this video, I'll show you how to create a fully customized AI agent, integrated with a RAG (Retrieval Augmented Generation) system, written entirely from scratch in Python. We'll start with the basics, building a system that can index and analyze your personal data, such as emails, documents, or other types of information. I'll guide you step-by-step through: How the RAG concept works and why it's useful for combining generative AI and personal data. How to index your data using embedding and vectorization techniques. How to implement an AI agent that can answer your questions using only information from your knowledge base. For the language model, you can use any LLM you have. In this video, we used OpenAI ChatGPT 4o, leveraging its advanced function calling capabilities and Assistant APIs to make the agent even more versatile. If you want to learn how to turn your personal data into a powerful AI tool, this is the video for you! Code used in the GitHub guide: https://github.com/simone-rizzo/agent... 00:00 - Intro 01:16 - RAG Refactoring 10:41 - Data to be Indexed 15:00 - Data Indexing 17:17 - Search Optimization 21:18 - AI Agent 33:13 - AI Interface and Demo OpenAI Assistant API: https://platform.openai.com/docs/assi... OpenAI Function Calling: https://platform.openai.com/docs/guid... #artificialintelligence #aiagents #chatgpt

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