Great explainer video. Thanks a lot for uploading this.
@joohuynbae50843 ай бұрын
i 've watched a bunch of videos about rag and kept running into problems. but your video is absolutely the best. no bugs at all. thank you so much, sir
@KGPTalkie3 ай бұрын
Thank you so much. I have published my LLM course on Udemy. You can get that here. www.udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
@amfiz973526 күн бұрын
Thankyou sir I had tight deadline of 3 days and I was panicking but your video helped me a lot and now I have successful rag implemnetation.
@KGPTalkie25 күн бұрын
Thank you
@viebell144018 күн бұрын
Can you give the source code please
@KGPTalkie17 күн бұрын
@viebell1440 please check codes at my github account github.com/laxmimerit
@slalАй бұрын
Excellent work on RAG, Laxmi Kant! . Completed in one-go without any single bug.
@KGPTalkieАй бұрын
Thank you
@sreyabasak967722 күн бұрын
Thank you sir. Works smoothly and wonderful explanation.
@JasonSmith-og5ufАй бұрын
dude, what a great video! With all the information, you somehow made it easy to follow. Bravo sir!
@KGPTalkieАй бұрын
Thank you
@pratik2617Ай бұрын
@@KGPTalkie I have a laptop of 8gb ram and entry level gtx graphics card. will i able to run llama3.2 ?? @KGPTalkie
@KGPTalkieАй бұрын
How much memory your gpu have?
@yoottananiema-um70712 ай бұрын
the best video no bug, no ploblem
@KGPTalkie2 ай бұрын
Thank you 🥰😍
@afzal_mansuryАй бұрын
This is one of the best video Available on Yt wrt to RAG, headsoff to you bro.. The way you described is absolutely great... It would be great if you add chapter, that would be more helpful for audience... At the end I want to say big thank you.. And also your channel is underrated... Continue this great work bro ❤
@mobycrazy99Ай бұрын
good work and explanation
@AtalUpadhyay3 ай бұрын
Excellent and very Informative.
@KGPTalkie3 ай бұрын
Thank you so much
@alexramos5873 ай бұрын
Good video.
@KGPTalkie3 ай бұрын
Thank you
@jyothishkumar.j36193 күн бұрын
How did you learn ? What resources do you recommend for beginners?
@MykolaDanylchukАй бұрын
Thank you for the instructions. Would the picture in PDF be read by the LLM or not?
@prasadgenesys67822 ай бұрын
Great work!, please make a video on finetuning llama with our own data as dataset.
@dps1583 ай бұрын
Thanks sir , Very Nice video. Can you please create the one course on Langchain from beginner level to advance level. I am also looking the contents on Agent.
@KGPTalkie3 ай бұрын
Yes sure. Thanks. It's already in development.
@OKORIEREX2 ай бұрын
Hi Coach, I hope you're doing well! I wanted to take a moment to congratulate you on creating your Udemy course. it’s no small feat to turn your expertise into something that can inspire and educate others. Your dedication and effort are truly commendable. I’ve come across your course, and it’s clear that you’ve put a lot of thought into delivering value to your students. It’s always exciting to see instructors who are passionate about sharing their knowledge. I’d love to hear more about your journey! Best regards, Rex
@tusharshrikhande326325 күн бұрын
Sir is there any library to process tables differently from the pdf if i use this method the retrieval of text inforamation is working properly but the tables are getting messed up and not able to retrieve the information that is stored in the table from the pdfs? For a semi-structured data a pdf that contains(text and tables both)?
@KGPTalkie25 күн бұрын
Hi, Yes you can use docling from IBM or MarkItDown from Microsoft. These libraries are released recently on github.
@tusharshrikhande326320 күн бұрын
Sir please can you make a video on that I tries using docling by referring through different videos but they are giving different kind of errors
@tusharshrikhande326325 күн бұрын
Hi sir I have huge pdf for my project if I take the chunk size to be 1000 then the total chunks are close to 1000 for that ids = vector_store.add documents is taking a lot of time the maximum size is for chunks character is 8192 correct so is it okay if I increase my chunk size and decrease the chunk overlap? Or is there another way to reduce the time it took almost 10 to 15 minutes
@tusharshrikhande326325 күн бұрын
The pages are close to 550 in the pdf
@KGPTalkie25 күн бұрын
@tusharshrikhande3263 hi, Document indexing is one time process and I think it's fine. You can leverage parallel execution to speed it up. You can use python threading for parallel computing.
@KGPTalkie25 күн бұрын
8192 is context size in tokens which is around 25000 chars.
@tusharshrikhande326325 күн бұрын
@@KGPTalkie Ok thank you
@joohuynbae50843 ай бұрын
how can i find the base_url in my computer? i see you just look at your screen and type in your base_url. how to do that?
@KGPTalkie3 ай бұрын
It's same for everyone. You just need to run ollama and it automatically starts at that url. Let me know if you still have an issue.
@joohuynbae50843 ай бұрын
@@KGPTalkie thank you so much 🥰
@KGPTalkie3 ай бұрын
@joohuynbae5084 I have published a udemy course on Langchain today. You can register here www.udemy.com/course/ollama-and-langchain/?referralCode=7F4C0C7B8CF223BA9327
@robertog366317 күн бұрын
i am watching this video with huge faith. All the others video i've found gave only errors
@KGPTalkie17 күн бұрын
Let me know if it works
@robertog366317 күн бұрын
@@KGPTalkie thank you. For the moment i switched to the easiest "Build Your Own Chatbot with Langchain, Ollama & LLAMA 3.2 | Local LLM Tutorial"
@robertog366317 күн бұрын
@@KGPTalkie would be interesting to know all the packages needed to run it, my mystake, you specify this exactly on the first line, after first # IT WORKED! Thank you Sir, amazing job and patience. Is there a chance to transform this in a chat like ollama does with open webui? i mean a kind of a mix between this project and your chat bot, to interact with pdf files with the chat
@KGPTalkie17 күн бұрын
@robertog3663 github.com/laxmimerit/LangGraph-and-Ollama/blob/main/requirements.txt Plus Streamlit
@Tesla13 ай бұрын
im new to here nd im subscriber and can you give me one reply please and im having student records of 4000 and i wanna ask ai model that i want particular amruth phone number and it should give me number and if there are two amruth then ai model should tell which amruth you want 8 class or 9 class or give me surname of him like that can you give me wt should i learn or this is correct video for me
@KGPTalkie3 ай бұрын
Yes. This can be done. Do you have data in csv format?