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Reviews 3

Average rating 4.7

Completed 96% of course

Overall, I think it was a great lecture. In particular, I have already developed a RAG service that retrieves answers using BM25+Vector, and I feel I can improve it further based on this course. However, one thing I wish there was more of is content on embedding techniques. I am currently chunking text or Markdown documents and storing them in a Qdrant vector database; I was hoping for some tips and know-how on how to efficiently store chunks and vector data, as well as how to retrieve that data effectively. Still, it was great to learn advanced technologies like GraphRAG and Agentic RAG!

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codebridge
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Thank you! I'm glad it was helpful. Regarding the storage of chunks and vector data, I will update this lecture once the materials are ready. :)

Mastering RAG Systems: Perfect Design from Classic to Agentic thumbnail
codebridge

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28 lectures

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29 students

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Mastering RAG Systems: Perfect Design from Classic to Agentic thumbnail
codebridge

·

28 lectures

·

29 students