学生对 DeepLearning.AI 提供的 Building Agentic RAG with LlamaIndex 的评价和反馈
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1 - Building Agentic RAG with LlamaIndex 的 14 个评论(共 14 个)
创建者 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.
创建者 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
创建者 Muhammad A A
•Feb 5, 2025
Very Potential & good Course
very useful
Good course
创建者 Ashwin S
•Jun 19, 2025
Fantastic
创建者 Scotty H
•Jul 22, 2025
great
创建者 Prathamesh D
•Jun 15, 2025
GOOD
创建者 MỸ L T
•Mar 13, 2025
good
创建者 ROGONDINO A
•Jan 7, 2025
.
创建者 Niranjan K
•Sep 11, 2025
Updated notebooks for deprecated classes from agents will be better. Overall, it is very good and felt happy to be a part of this project.
创建者 Abhijeet G
•Jan 29, 2025
Gives a great overview
创建者 Kanchan T
•Aug 1, 2025
good course
创建者 Kazi W U Z
•Sep 16, 2025
It's a little complicated for Python newbies. Needed more practical content.