LangGraph:13 Corrective RAG for Real Time AI Application

[@Jahid_Hasan-J01]

Sir please continue 🙏🙏🙏

[@muhammadadilnaeem]

Amazing Explanation Sir.

[@sunnysavita10]

Keep watching

[@Jahid_Hasan-J01]

Thank you sir for giving us this valuable tutorial...God bless you...❤❤❤...i learning many things from You...❤❤❤

[@sunnysavita10]

keep learning thanks🙂

[@hamzakhanswati9087]

Sir, I have been following you since the first LangChain course you launched on sir krish naik channel, and Alhamdulillah, I am now working as an Gen AI Engineer

[@sunnysavita10]

congratulations :)

[@muhammadimranrafique4778]

Thank you so much, the corrective rag is so useful.

[@hamzakhanswati9087]

Great sir please also make the video on open AI real time api

[@shreyasbs2861]

We need one end to end RAG llm project which includes all advanced RAG concepts and techniques. Its very important for cracking interview and answering all cross question in interview. Its really differentiates from normal RAG project.

[@sunnysavita10]

I already created a playlist on advanced rag please check and use on your own data

[@shreyasbs2861]

@@sunnysavita10 Thank you

[@Ishaheennabi]

Great sir!

[@areebahshakeel2409]

Agentic rag is my final project. Could you please upload a video on it? It will be very helpful

[@sunnysavita10]

Will upload this upcoming week

[@areebahshakeel2409]

@ thank you

[@Samurai-hf1un]

Hey sunny, you haven't passed the retriever object in the RAG chain.
Can you please elaborate on this??🤔🤔

[@sunnysavita10]

only in first chain retriever will be required not in other chain understand architecture and code in sync

[@Rr-lh2ru]

Sir deep learning playlist

[@sunnysavita10]

Create in future

[@Rr-lh2ru]

​@@sunnysavita10 Ok sir