Supercharge AI with Knowledge Graphs: RAG System Mastery NEW (Udemy.com)

used print statements through out the code to showcase step by step working along with showing changed in graph in neo4j. But some last two modules looses that connect as he used lot of built in langchain modules and just dont show what happens within the graphdb. He starts by using already pasted code which feel overwhelming and difficult to understand. Overall a good course but this wont be enough to understand and implement your own knowledge graph for sure..!!

I loved this course. I have been reviewing lot of Knowledge graph courses on Udemy, but this is exactly what i wanted. I mean you were able to put the architecture diagram and went through each step of it in a practical example including the code and completed the entire project as you have shown in the architectural map. I loved it. Now I am very confident that I can start doing my own KG projects using this course and the code provided as a template. Thank you very much for this wonderful course. I am planning to join your other courses because I live the flow of your teaching. Regards SM

Great intro to neo4j and graph database RAG setup. I ran into many technical challenges, but I was able to use Gemini to get through the parts that weren't explained in the course. Thanks Paulo!

This course helped me to get confidence to start building my own RAG base system. Multiple times I have come back to the course to revisit some concepts.

Great intro to graphRAG, but the performance was underwhelming. Limitations with current technologies are not the instructor's fault, but it would have been edifying to receive a deeper discussion into some of those limitations and potential improvements or alternatives to work with. Generally, would like to see more robust models in graphRAG.

So far so good - this is the basic setup and I am glad we are not spending a ton of time on it. Most of this is also available online (e.g. openai API Key setup) but good to cover.

Was a great course. Presenter is very easy to understand and the overall course structure was very well thought out. One issue I see is that around the end of the course, there are a few methods that weren't explained at all ("generate_full_text_query", "structured_retriever"). I don't understand how these work and would have appreciated the additional 5-10mins explanation.

I got a really comprehensive overview over the GraphRAG pipeline. The instructor explains everything in a detailed way and takes his time, so that I was able to follow along easily.

He explains the stuff in a simple way which is damn good. His way of teaching starting with theory and then practical's helps us to gain the knowledge without having any doubt.

A few things here: 1. If anyone at udemy is reading -- ALL of your courses should be like this if possible. Meaningful, straight to the point, and efficient on time. 2. Overall review is this course does exactly as described. It is excellent but you *must have a working knowledge of the prerequisites*. There are small details that I think could have been explained a bit clearer but this course was excellent. It teaches you how to use knowledge graphs with embeddings. In this case RAG but you can take these patterns and create a whole host of unique products/features. Very well done Paulo, thank you!