I am subscribing and turning on notifications because of how well you explain stuff in this video! Kuddos!
@codingcrashcourses85335 ай бұрын
@@maxtayebwa8987 thank you :)
@MMO-g2w9 ай бұрын
The best, always.
@kakashisensie1008 ай бұрын
Amazing video. It would be even better if you can compare agents in both frameworks.
@M10n89 ай бұрын
Yep, love it. We need more Udemy courses! Best teacher ever.
@codingcrashcourses85339 ай бұрын
Haha thank you. I am already thinking of a new course. Probably an advanced course. But not Sure about the way i want to Set it up
@swiftmindai9 ай бұрын
I suggest you do an advance course with a specific end to end use case or project like you do in real world (for eg. specific chatbot for retails or ecommerce or anything) that can be implemented in production with very minimum change. That will level up skill to professional level for many of us who follows you here. Coursera and some udemy as well offers similar which they call it capstone project if I'm not mistaken. But since most of us here are comfortable with the way you explain, I'll be the first one to purchase your course :)
@codingcrashcourses85339 ай бұрын
@@swiftmindai I will probably make an advanced RAG course, since I already got a course on Prod with Azure. I don´t like to cover multiple complex areas in one course/video :)
@Larimuss4 ай бұрын
Wow great tutorial thanks, love the breakdown an explanation. 😊
@codingcrashcourses85334 ай бұрын
@@Larimuss thank you :)
@jonathanconn46304 ай бұрын
Great explanation, thank you!
@limjuroy70789 ай бұрын
Hello, thank you so much for your comparison in the video! I also have a small request - could you possibly make a prompt engineering video tutorial for both LangChain and Llama-Index, especially the use of LCEL in LangChain?
@codingcrashcourses85339 ай бұрын
One or the other :). I would rather make a Video ok LCEL
@limjuroy70789 ай бұрын
@@codingcrashcourses8533 great 👍
@Roy-h2q7 ай бұрын
felt like langchain are more straight forward , but ofcourse perhaps there are some value for how LlamaIndex are implemented
@coderider30226 ай бұрын
This is a good video. Thank you.
@timtensor69949 ай бұрын
Great video. Subbed. I have a question , recently i was trying RAG application for german language using mistral , llama cpp , chroma and local embedding . However i found out that using llama index i couldnt even retrieve any documents and returned no answer . Has it happened to you that it didnt recover any chunks so as to say ?
@codingcrashcourses85339 ай бұрын
No - the standard is that your retrieve the top-k documents. You sure you indexed correctly? Normally you always retrieve documents, no matter what.
@sanjayojha19 ай бұрын
2 questions. 1st: How is Hyastack compared to these two?, and 2nd: Which one is more asked in Job openings?
@codingcrashcourses85339 ай бұрын
I tried Haystack and ditched it because it forced you to install the whole transformer stack. That was ~1 year ago. Regarding the second question: No idea about job markets.
@sanjayojha19 ай бұрын
@@codingcrashcourses8533 I have tried their beta 2.0, so far it looks good.
@yinxing4189 ай бұрын
Switched to Haystack and never looked back. Repo is way easier for me to understand, and you can write your own components. Just compare all the frameworks yourself and see what makes sense.
@gjsxnobody75349 ай бұрын
Very cool. But how can me make it “learn on the go”. Meaning if someone asks a specific question and there is no answer. Like where is the bathroom in the restaurant. How to setup your notify a human to help, and then to add that Q and A to the RAG or Langchain, and then how to rebuild the model so it knows?
@codingcrashcourses85339 ай бұрын
It depends. Add a "contact human" and then probably collect the answers and index them again. There are many different ways to add upon that
@DataMind-xd7xm7 ай бұрын
@@codingcrashcourses8533 how about using a RLHF system from the feedbacks instead?
@Pratikology9 ай бұрын
Amazing content as always , can you make a video on RAPTOR, it is getting popular for long context llms as an soft alternative for RAG
@codingcrashcourses85339 ай бұрын
Thanks for making me aware of that
@skyblaze66878 ай бұрын
i dont want to use chromedb how can i avoid it i want to store it in json or pickle or something else
@codingcrashcourses85338 ай бұрын
Use FAISS for that. FAISS allows you to pkl your vectorstore
@tirthvora85919 ай бұрын
Langchain also has high level chains
@codingcrashcourses85339 ай бұрын
Yes, but these legacy chains and the chain interface is not the default.
@HypeDigitalyAI8 ай бұрын
Very interesting video...we have just landed a big client that has thousand of documents. Would it be possible for you to help us with this project man, or at least offer your expertise on some consulting session ?
@codingcrashcourses85338 ай бұрын
Thanks for the request, but I have to decline since I am not allowed to done any consulting related work in my side business.
@aamirsec83059 ай бұрын
create a chatbot for HR to filter the best candidate among the resumes
@codingcrashcourses85339 ай бұрын
Interesting idea ;)
@aamirsec83059 ай бұрын
@@codingcrashcourses8533 can i have a chat with you
@aamirsec83059 ай бұрын
@@codingcrashcourses8533 whats your email sir
@granothon80549 ай бұрын
good
@Alex..-vp2wf8 ай бұрын
collection "xyu"😶🌫
@codingcrashcourses85338 ай бұрын
Hm?
@coursachGPT6 ай бұрын
😂😂
@coursachGPT6 ай бұрын
@@codingcrashcourses8533that's a curse word in Slavic languages
@codingcrashcourses85336 ай бұрын
@@coursachGPT thanks for clarification :D
@coursachGPT6 ай бұрын
@@codingcrashcourses8533 good video btw! tried langchain with chromadb but couldn't install langchain-chroma lib, some problems with Microsoft visual runtime. Tried lancedb but couldn't figure out how to use it with local embeddings and llm😂 not my day, need to spend some time to learn all that. Thank you for your content