Build an AI Agent to Remember All Your Notes
Do you wish ChatGPT could remember and leverage all your study materials? This Python tutorial shows you how to create a powerful RAG (Retrieval-Augmented Generation) AI agent that does exactly that!
You'll learn to create vector embeddings from your Markdown notes, allowing the AI to retrieve relevant information with reliable text chunking.
Here's what you'll learn:
👉 Extract content from Markdown notes into logically chunked embedding chunks
👉 Generate vector embeddings using the Google Generative AI API
👉 Implement vector similarity search for retrieving relevant passages
👉 Construct embedded prompts to the Gemini 1.5 Pro LLM
👉 Create a production-ready RAG agent in Python
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