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Background: Comparing Agentic RAG with traditional RAG:
https://youtu.be/K6wpRkJrcpM -
Building the initial version of this:
https://youtu.be/KdKqMfs-8gs -
Taking Agentic RAG to the next level with more tools.
https://youtu.be/UmGLirGbKTk
My course curriculum: https://edwarddonner.com/curriculum
- Clone this repo with
git clone https://github.com/ed-donner/expert.git - Install uv if you don't already have it
- From VS Code or Cursor, do File >> New Window and then Open.. then navigate into
expertand Open - Open a Terminal window (View menu >> Terminal) and run
uv sync - In the File Explorer on the left, head over to
ingest.ipynbthen click on the top right to Select Kernel and pickexpert (Python 3.13.x)
Windows PC People: MCP might only run if you use this via WSL2! For more on this, see my AI Engineer Agentic Track course. Alternatively, you might need to change the Jupyter Notebook into a python module in order to run it from the Windows side.
If you want to use the blazingly fast Cerebras, sign up for a Cerebras account here:
https://cloud.cerebras.ai/
But that's not required; you can use OpenAI or OpenRouter direct.
For more on Agentic RAG, OpenAI Agents SDK and MCP, check out my curriculum:
https://edwarddonner.com/curriculum
Connect on LinkedIn: https://www.linkedin.com/in/eddonner/
Subscribe on YouTube: https://www.youtube.com/@edward.donner