Great video, really helpful. Please can you create a video that covers the other 3 features you suggested i.e. adding a Web UI (e.g. React & Next.js), Authentication (e.g. Clerk) and Payments (e.g. Stripe). Thanks.
Great video. It is very complete!!! I only have one question: Why didnt you use a cloud hosting for the vector database? (Like Pinecone, for example). I mean, in Production enviroment is more efficient, isnt it? Thank you for your content! Keep it going :)
This is a great video and I love all your tutorials. You should call out which models you are using. It took me a long time to figure out which model was used for the embeddings since you did not pass the Model ID as a parameter there.
Awesome video bro! Why not use AWS Kendra for the RAG block? You woulda save at least half of the video and Infra issues you faced. Still good for learning, nice job!
If we use lama3 as Model how can we install and use it in production ? if i remember correctly it need a really big CPU so the price is must insanely expensive
Great video why you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit.. post the vdo by using azure open api key Azure open ai embedding and azurechatopenai for multiple pdfs rag application.. Using azure open api end point there are no videos on UA-cam so it would be helpful.. 😊
What happens in the database if the info on the pdf was wrong? Is it easy to correct? Is it easy to delete the wrong info and populate with the new one?
Great content. 🫡 Just finished building this. How to use this model for Excel Files where it is needed to check the whole file to provide answers. It basically checks just the relevant chunks and does not summarize the whole file for .xlsx files. Can you take this up in your next tutorial?
Great video, really helpful. Please can you create a video that covers the other 3 features you suggested i.e. adding a Web UI (e.g. React & Next.js), Authentication (e.g. Clerk) and Payments (e.g. Stripe). Thanks.
This is an amazing tutorial, thank you very much for this kind of content!
Instant like and sub
Great video. It is very complete!!! I only have one question: Why didnt you use a cloud hosting for the vector database? (Like Pinecone, for example). I mean, in Production enviroment is more efficient, isnt it? Thank you for your content! Keep it going :)
This is a great video and I love all your tutorials. You should call out which models you are using. It took me a long time to figure out which model was used for the embeddings since you did not pass the Model ID as a parameter there.
It is really useful. Thanks a lot.
awesome, more videos about AI, please🙂
Awesome video bro! Why not use AWS Kendra for the RAG block? You woulda save at least half of the video and Infra issues you faced. Still good for learning, nice job!
that's pure gold, ty!
This was great! Thank you.
I love your videos and wanted to know which software do you use for representing your architecture diagrams, they look wonderful?
If we use lama3 as Model how can we install and use it in production ? if i remember correctly it need a really big CPU so the price is must insanely expensive
Great video why you didn't use azure open ai llm because most of the companies using closed openai like azure so.. We can learn azure open ai services so create video with azure open ai llm with multimodal support rag application ( input multiple pdfs with images and tables and text) and integrate with streamlit..
post the vdo by using azure open api key
Azure open ai embedding and azurechatopenai for multiple pdfs rag application..
Using azure open api end point there are no videos on UA-cam so it would be helpful.. 😊
Why don't you use a WebSocket for communication with the ChatBot?
What happens in the database if the info on the pdf was wrong? Is it easy to correct? Is it easy to delete the wrong info and populate with the new one?
Great content. 🫡
Just finished building this. How to use this model for Excel Files where it is needed to check the whole file to provide answers. It basically checks just the relevant chunks and does not summarize the whole file for .xlsx files.
Can you take this up in your next tutorial?
Love your content!
Love your content!
Love your content!