Building a RAG Architecture: Local Files and Web Data Extraction - Pinecone, Mongo and ChatGPT

[@spaceman3340]

Thanks for this video. It helped a lot to understand RAG pipeline and build similar for my tasks.
But I uses SAP AI Core for Generative AI and SAP Hana Cloud as DB in my project.

[@ukmevy]

Thanks a lot for the hands-on demonstration and the clear explanation! :)

[@Michael-AI]

Very glad to hear that it was helpful

[@DaveTerlaje]

good stuff! your delivery of the content was smooth...kind of like blades of grass on a flowing stream.

[@Michael-AI]

I appreciate that!

[@jonathandonda2700]

Very good content, thanks.

[@Michael-AI]

Thanks

[@rokunuzjahanrudro7571]

This is awesome sir

[@Michael-AI]

Thanks

[@tonyhill5966]

Nice work!!!

[@Michael-AI]

Hope it was helpful

[@nro337]

very cool!

[@Michael-AI]

Thanks! I’m glad you liked it.

[@WesSimpson-mx1fn]

this is so badass.

[@Michael-AI]

thanks for thinking it was badass 👍

[@SanjaySingh-gj2kq]

Hi Mike, amazing stuff covering very important aspects of an end-to-end RAG application. It was a great experience going through each git project and executing them with pinecone, MongoDB, and OpenAI. With minor changes, they all worked fine. Thanks for the video and codebase. Subscribed!

[@Michael-AI]

Well, I’m glad it was helpful and got you started.

[@VTC10English]

thank you, great content!

[@Michael-AI]

Thanks, glad you liked it.