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Learner Reviews & Feedback for Building Agentic RAG with LlamaIndex by DeepLearning.AI

4.8
stars
38 ratings

About the Course

Join our new short course and learn from Jerry Liu, co-founder and CEO at LlamaIndex to start using agentic RAG, a framework designed to
build research agents skilled in tool use, reasoning, and decision-making with your data. In this course: 1. Build the simplest form of agentic
RAG – a router. Given a query, the router will pick one of two query engines, Q&A or summarization, to execute a query over a single
document. 2. Add tool calling to your router agent where you will use an LLM to not only pick a function to execute but also infer an argument
to pass to the function. 3. Build a research assistant agent. Instead of tool calling in a single-shot setting, an agent is able to ...
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1 - 5 of 5 Reviews for Building Agentic RAG with LlamaIndex

By Joel F

•

Jan 26, 2025

The projects allow me to immerse myself on how to create one. The lab does take about an hour , but my learning was cemented when I recreated the lab in my personal laptop. When I recreated the lab at home with school and work pdfs it took me at least two days to have the results like the lab, because as a beginner I did not know the reasoning behind why we need to create a virtual environment for projects, and to keep projects usually away at the global level in our machines (laptops). I learned about GNU, Ubuntu manual, Jupyter lite and notebook, and more. I learned about the importance of reproducibility, and how you can have pip create a requirement txt and allow others to recreate the same dependencies to have the same results. The lab is short and easily digestible, and I encourage others to attempt to recreate the lab at home with their own laptop.

By Juan B S P

•

Jul 30, 2024

Really cool small project, it helped me learn the main uses and tools I can use to develop RAG systems, thanks DeepLearning.AI

By Muhammad A A

•

Feb 5, 2025

Very Potential & good Course

By ROGONDINO A

•

Jan 7, 2025

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By Abhijeet G

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Jan 29, 2025

Gives a great overview