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?
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 :)
@@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 :)
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 ?
@@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
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 ?
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?
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.
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.
