RAG Chatbot in Minutes with Flowise, Vectara & Groq - No Coding Required!

In this tutorial, I show you how to create a RAG app using Retrieval-Augmented Generation (RAG) from PDFs and other data sources with Flowise and Vectara. FlowiseAI lets you build AI applications without coding using a simple GUI, making it perfect for anyone interested in no-code solutions. I also explore Vectara's ground search technology, which powers RAG. Don't forget to like, comment, and subscribe for more AI content.
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[@sneharoy3566]

Very simple

[@ishanagrawal396]

Great thanks! Instead of node.js can it be done using vs code and python?

[@MuhammadEhtisham-cm5vr]

Hy , great video bro , i have a question , i making a app where user can generate their chatbots , on their data , using fine tuning or rag , i was able to do it in local host , but how can we do it on aws , like where will the user data will be stored the s3 bucket i think ? tbut then the main problem where will be open source model or gpt model be present . so when from front user select the fast api carry the request of specfic model to aws , how will the model be trained in aws , and then how can i carry the reposne of the query back to the user from aws ?? the main problem is aws plz make a video of making a assiant like this uusing react or amy other tech as front end , fast api as backend , and aws for the model training etc

[@mohsenghafari7652]

thanks

[@cvaug6958]

Hello thanks for the video, its different from what you usually find and it seems more simple, but I first tried to do it without uploading the file from Vectara. I tried first just doing it from flowise and I got an error, then i uploaded from Vectora and it worked well. Are you sure this will upload the file with no problems? Because i noticed you didn't try, you just append it. So I don't know if its something wrong on my side or maybe theres some step missing here. Thanks.

[@nufh]

I use pop os. Installation failed.

[@azer0013]

Is it completely free