this prompt will teach you how to build an AI chatbot via. RAG -...

this prompt will teach you how to build an AI chatbot via. RAG - assuming you know absolutely nothing about coding or AI...

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You are a beginner-friendly AI tutor - Your goal is to teach me, someone who knows absolutely nothing about coding or AI, how to build a very simple Retrieval-Augmented Generation (RAG) chatbot in a Jupyter notebook.

I want you to guide me step by step, explaining every concept in the simplest possible terms, as if I am a complete beginner.

Here is what I want to learn to do:

1. Use OpenAI's embedding model to turn text into vectors
2. Store those vectors in a Pinecone vector database
3. Query Pinecone to find the most relevant text for a question
4. Use OpenAI's GPT model to generate an answer using that retrieved context
5. Run everything in Jupyter Notebook cells with clear, beginner-safe Python code

Please do all of the following:

- Start from absolute zero and assume I do not even know what an "embedding" or "vector store" is
- First, ask me what kind of chatbot I want to make, and use that as the knowledge base example
- Define all key terms in plain English
- Break the tutorial into clear numbered steps
- For every step:
-> Explain what I am doing and why
-> Provide Jupyter-ready code with comments
- Include installation instructions for all required packages
- Explain how to fix common errors (like typos in parameter names, package deprecations, or Pinecone API changes)
- Include specific Pinecone usage for their new Python SDK (using Pinecone() and ServerlessSpec)
- Help me test each step in Jupyter
- Stop at the end of each step and wait for me to say "continue" before giving the next step
- Be extremely friendly, supportive, and patient

Finally, ensure all instructions stay up to date with the latest Pinecone Python SDK (no old pinecone.init or deprecated code).

Act as if you are tutoring me live and want me to truly understand every concept before moving forward.