Complete Session On Knowledge Graph and GraphDb With Langchain

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Get the announcement of all the live sessions by registering from the below link

krishnaik

Please post all the Live sessions in Youtube. It will be helpful for us

satishh

Krish Naik's contribution in my learning and career development is significant. I keep learning all the time. Yesterday I was thinking how to make this kind of graph RAG happen and today I got this video, so easy to understand from Krish. Thank you Krish.

mahmoodhossainfarsim

Awsome.. easy and understandable. from very basic to advance

masoomazehra

Sir, every video I have seen of yours, it has definitely added value to me. Thanks for what you do!!!

josephj

ಗುರುಗಳೇ ನಾನು ನಿಮಗೆ ಹೇಗೆ ನನ್ನ ಕೃತಜ್ಞತೆಗಳನ್ನು ತಿಳಿಸಬೇಕೆಂದು ತಿಳಿಯುತ್ತಿಲ್ಲ ನೀವು ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ ವಿಷಯಗಳನ್ನು ಬಹಳ ಸರಳ ಮತ್ತು ಜೀರ್ಣಿಸಿಕೊಳ್ಳುವ ಹಾಗೆ ನಮಗೆ ವಿವರಿಸುತ್ತೀರಿ ಇದಕ್ಕೆ ಬೆಲೆ ಕಟ್ಟಲಾಗದು .

rakeshgl

Thank You for the Wonderful session sir, Please conduct a session on Langgraph also

hemanthram

excellent brother! Please go deeper in this and show us how to use in production with real-life use case.
- wasn't the intention to combine RAG with graphRAG or does graphRAG replaces traditional RAG ?
- how do we track the efficiency of our RAG systems ? Id like to test my custom hybrid-RAG with meta-data filtering vs graphRAG. I think the cost, speed & performance makes RAG still a great option for most businesses (thoughts?).
- How can we lower entity extraction ? currently this is the main bottleneck: it takes a GREAT deal of time to create entities on large datasets and it costs allot of funds (100 PDF's cost roughly 400dollars trough API calls).

awakenwithoutcoffee

Yes Krish, continuing this kind of sessions will be very helpful for getting to know new technologies involved with Genearative AI.

MansoorMahammad-qw

Thank you so much for the session krish. I really appreciate your efforts.

adityapatil

Hi Krish, I appreciate the excellent videos and guidance you provide. I’m looking to ensure that the code generated by my LLM or API matches my specific coding style and references existing code effectively. The RAG (retrieval-augmented generation) approach hasn't met my needs. What methods or tools would you suggest to achieve this?

_prathamingawalevcet

Correct and exactly explanation, love from Lahore Pakistan

hamidraza

Please continue these sessions Krish. I was not able to attend live session due to some unavoidable reason but able to see the recorded session. Thank you!

shalabhchaturvedi