Krish, I have grown over the years , into a full fledged data scientist, handling and catering multiple use cases, mostly deriving the learnings from your channel, but even till today when I watch your videos, I am like dude “yeh bhi toh ho sakta tha, acha aise bhi ho sakta hai” 😅 Kudos to your teaching spirit and methodology.
Hi Krish, your updated langchain series is wonderful. However, will be of help if you could put all details in the video or provide associated links to ensure its completeness for all members. Eg. 1) How to get Lanchain_API_Key (shown at @3:02) 2) how to set up virtual environment 3) Links of your hugging face videos which you mentioned.
he siad evry thing will be taught, evn creating getting api and ecyerthing used will be open source. dont know why he dont stick to his words , in every playlist he do this yaki
Great tutorial as always, Krish sir! The explanations were clear, and I learned a lot. I did run into one issue initially, but after revisiting the steps, I realized I hadn't started the llama2 server. Once I did that, everything worked smoothly. Thanks for another helpful video!
Sir imagine the blessings and the good Karma you are accumulating this life sir ..tremendous blessing for all the good work you are doing by helping millions of people ...god bless you sir
Very helpful, I was searching for a tutorial that will help me use the langchain framework based on the recent updates. This course was very useful and helped me learn the entire content in a few hours. Thanks Krish. I have recommended this to some of my friends . Great work !!!
Thanks sir!! I am really happy. LLama3.2 model has also worked on my device. I was jumping video to video to learn to do this. Hope to learn more in upcoming videos
Thank You brother soo much. This is the first time I'm making a comment. I saw your ML one shot video which got me placed. I was trying hard and Thank you for knowledge and content. Now I'm in job still learning from you coach. Keep em coming
Krish, I am watching this series and I have to say, you were extremely helpful compared other guides I watched for Langchain and AI apps. Thanks a lot for the contribution sir, keep making tutorials like this! I would like if you could make any tutorials specificaly on vector databases for ex. ChromaDB or MongoDB Vector Search. Much appreciated!
Thanks Krish for these amazing videos. You break the concepts down so well. Please can you create a video on how to route multiple chains using LLMRouterChain. I can't wait to see the rest of the series. Thanks
Unbelievable video. Lets keep moving the cutting edge forward!!! I am excited to build llm based apps for my company and personal projects. I might have to upgrade to 128G of ram for dev time. Looks like I need a new tower, oops haha.
Sir , thanks for starting this series❤. Could you please create a video on RAG System using llama index , langchain, groq ,qdrant, open source llm It is very much needed thanks
commenting even before watching the full video, coz i know its going to be good. Anyways will leave a feedback again at the end. Target 400 comments :P
At 19:29 in the video, it is showing that 'openai_api_key' has been used even for the open source llm model version of the code... am wondering why is this required .. could someone pls help to understand..
I think I will stick with OpenAI. I got a 16GB RAM machine and running a simple prompt in OLLAMA took forever :-). From mu prospective, $10 in openAI is still a lot cheaper than high end machine ... for now at least.
That's quite the best tutorial. Will this Ollama work when we deploy the chatbot on Streamlit? Can you creat tutorial for creating chatbot working on RAG using Vectara?
Sir i hope you won't make these langchain videos into membership section.. for the aspiring students who can't afford to learn this is a gold content for them.. this is a kind request from my side sir❤..
instead of ollama, I would like to try light weight Phi-2 or Phi-3. I not able to figure out the replacement for this: 'from langchain_community.llms import Ollama' to import Phi. It seems Phi is not an option?
The question is: Can these models like LLMA 2 used here, be also trained with specific domain of knowledge e.g. agile project management or they can only be used as it is?!
Getting error (TypeError('BaseModel.__init__() takes 1 positional argument but 2 were given')Traceback (most recent call last): while using default project at Langchain smith. I think default project takes single argument and we are passing 2 arguments. Any video to create project at Langchain? Please suggest
Hey Krish, once again amazing tutorial. I had one query with respect to Open Source LLMs. Since Ollama supports some specific open source models only, what if I have a custom finetuned model on local machine then can it be used with llangchain
This work well, pip install langchain-ollama from langchain_ollama.llms import OllamaLLM model = OllamaLLM(model="llama3.2:1b") chain=prompt|model|output_parser
Hi Krish. While typing from langchain_openai import ChatOpenAI, after entering the langchain (Which autoreflects) why the _openai is not reflecting in VSCode ? Also the "ChatOpenAI" is not reflecting automatically. Hope to get an answer, as you mentioned for 200 comments ! :)
Support me by joining membership so that I can upload these kind of videos
ruclips.net/channel/UCNU_lfiiWBdtULKOw6X0Digjoin
sir i dont have subscription of openai so how can i make this project with free account
@@HustleWithShubham01 free version doesnt have API facility
Krish, I have grown over the years , into a full fledged data scientist, handling and catering multiple use cases, mostly deriving the learnings from your channel, but even till today when I watch your videos, I am like dude “yeh bhi toh ho sakta tha, acha aise bhi ho sakta hai” 😅
Kudos to your teaching spirit and methodology.
Hi Krish, your updated langchain series is wonderful. However, will be of help if you could put all details in the video or provide associated links to ensure its completeness for all members. Eg.
1) How to get Lanchain_API_Key (shown at @3:02)
2) how to set up virtual environment
3) Links of your hugging face videos which you mentioned.
he siad evry thing will be taught, evn creating getting api and ecyerthing used will be open source.
dont know why he dont stick to his words , in every playlist he do this yaki
Great tutorial as always, Krish sir! The explanations were clear, and I learned a lot. I did run into one issue initially, but after revisiting the steps, I realized I hadn't started the llama2 server. Once I did that, everything worked smoothly. Thanks for another helpful video!
Excited to follow the series. Its excellent that you keep in any hiccups so we too can see the common errors that come up and how to fix them.
Sir imagine the blessings and the good Karma you are accumulating this life sir ..tremendous blessing for all the good work you are doing by helping millions of people ...god bless you sir
Very helpful, I was searching for a tutorial that will help me use the langchain framework based on the recent updates. This course was very useful and helped me learn the entire content in a few hours. Thanks Krish. I have recommended this to some of my friends . Great work !!!
I love the fact that you keep errors and everything raw! Keep up the great work Krish!
Thanks sir!! I am really happy. LLama3.2 model has also worked on my device. I was jumping video to video to learn to do this. Hope to learn more in upcoming videos
Thank You brother soo much. This is the first time I'm making a comment. I saw your ML one shot video which got me placed. I was trying hard and Thank you for knowledge and content. Now I'm in job still learning from you coach. Keep em coming
Thank you Krish. Your videos are just amazing.
you are the best teacher for ds
Excited to follow this, Please make this for enterprise application toward the end.
Krish, I am watching this series and I have to say, you were extremely helpful compared other guides I watched for Langchain and AI apps. Thanks a lot for the contribution sir, keep making tutorials like this! I would like if you could make any tutorials specificaly on vector databases for ex. ChromaDB or MongoDB Vector Search. Much appreciated!
Such a great start to this much needed course
please create one video how to make a Q&A chatbot by using mutiple csv files. There are lot of videos by using pdf but no one made by using csv
Yes, also there is for 1 csv, but for multiple csvs its not working as it should....
I have also implemented single csv chatbot using PandasAI so multiple sounds like a fun and great idea, I think it can be done using templates too.
I have tried, but its not giving good results, if anybody gets any leads, lets connect
@@fkeb37e9w0 I am trying it too, let me know if you get any references or leads
Excellent video, as always! Thank you.
Thanks Krish for these amazing videos. You break the concepts down so well. Please can you create a video on how to route multiple chains using LLMRouterChain. I can't wait to see the rest of the series. Thanks
Commenting because, it hasn't been 200 comments yet.
Nevertheless, Thank you for the series.
Unbelievable video. Lets keep moving the cutting edge forward!!! I am excited to build llm based apps for my company and personal projects. I might have to upgrade to 128G of ram for dev time. Looks like I need a new tower, oops haha.
You are doing really amazing work. Videos are very helpful. Thank you
Only one word:Thanks❤
Man you are amazing! really appreciate your informative videos! Keep going man!
Finally the series is here!
I am excited to learn with this updated series 😌
Awesome. Learning a ton here. Thanks for the effort you are putting in.
You are amazing mr.naik ...
Thanks!
Sir please upload daily one video and give assignment related to langchain what you explained...❤❤❤
Perfect way of learning 😊❤
Absolutely very amazing!! Thanks for sharing this.
This was a good starting. Thank Krish
We will take most of this series ❤️
Thank you, Krish, for amazing videos.
Amazing ...Thanks for sharing this
Thanks a lot..! Its really good and helpful..!
keep doing..!
Amazing Series Krish. Thank you :)
Thanks for sharing such a wonderful series
Thanks for creating these amazing materials!
Hoping you reach 200 comments soon :). Amazing content
Looking forward to this series!!
thanks for this made my first LLM app
your content is good. I appreciate it
Thanks Krish. Very Helpful.
Great Video! Waiting fir the next one
Really love your videos Krish sir
Sir , thanks for starting this series❤.
Could you please create a video on RAG System using llama index , langchain, groq ,qdrant, open source llm
It is very much needed thanks
commenting even before watching the full video, coz i know its going to be good. Anyways will leave a feedback again at the end. Target 400 comments :P
awesome video and explanation
keep going on with this playlist, try making one for llama index, want videos on model fine tunings
Thanks for sharing this information
Thanks for making this one @Krish :)
Real thanks for all your efforts
very interesting sir!thank you for your efforts
good series. Keep up the good work.
I love this,thank you brother
You are god gift for us
Keep doing krish
Crazy good presentation
Excellent Krish!
Thanks so much Krish :)
keep it up sir
Hi Krish, Loved the video.
One small problem, followed the video but no able to see the tracking in langsmith
Did you resolve??
waiting for next video
love this guy
please include deployment part in this series.
@2:13, where to get the LANGCHAIN_API_KEY ?
It's not Langchain actually,
It's langsmith go signup for langsmith and then in API section you ca create
Excited
Awesome content Krish
At 19:29 in the video, it is showing that 'openai_api_key' has been used even for the open source llm model version of the code... am wondering why is this required .. could someone pls help to understand..
He just copied and paste. No need to openai_api for open source like ollama
This man is a life changer.
Krish Naik how can I join membership?
As always amazing video !!
what is the need of lanchain_api_key , from where we can get it ?
Thank you Krish Naik
@krishnaik, looking for gen ai membership. Looks like not available in your list. Please create
Good video. Thank you
I think I will stick with OpenAI. I got a 16GB RAM machine and running a simple prompt in OLLAMA took forever :-). From mu prospective, $10 in openAI is still a lot cheaper than high end machine ... for now at least.
Kindly make video on langchain deployment using langserve templates like rag-mongo template
Hi Krish,
please make a video where i can upload any bank statement and do analysis from it using llm.
Hey Krish , possible to do one on invoice extraction using Ollama and LLAMA2. Thanks!
That's quite the best tutorial. Will this Ollama work when we deploy the chatbot on Streamlit?
Can you creat tutorial for creating chatbot working on RAG using Vectara?
Sir i hope you won't make these langchain videos into membership section.. for the aspiring students who can't afford to learn this is a gold content for them.. this is a kind request from my side sir❤..
these videos will be for everyone :)
@@krishnaik06 ♥️
Awesome
instead of ollama, I would like to try light weight Phi-2 or Phi-3. I not able to figure out the replacement for this: 'from langchain_community.llms import Ollama' to import Phi. It seems Phi is not an option?
Great stuff
Hi Krish...
Could you please tell how to deal with unstructured excel with LLMs?
those videos will also come :)
@@krishnaik06 Thanks👍
Great playlist
Great Video
How to build saas llm Website using private llm models
I am having azure open ai key is it different from open air key does it require something else to access the openai api?
love your videos
The question is: Can these models like LLMA 2 used here, be also trained with specific domain of knowledge e.g. agile project management or they can only be used as it is?!
Getting error (TypeError('BaseModel.__init__() takes 1 positional argument but 2 were given')Traceback (most recent call last): while using default project at Langchain smith. I think default project takes single argument and we are passing 2 arguments. Any video to create project at Langchain? Please suggest
Hey Krish, once again amazing tutorial.
I had one query with respect to Open Source LLMs.
Since Ollama supports some specific open source models only, what if I have a custom finetuned model on local machine then can it be used with llangchain
Good video
GREAT..
This work well,
pip install langchain-ollama
from langchain_ollama.llms import OllamaLLM
model = OllamaLLM(model="llama3.2:1b")
chain=prompt|model|output_parser
beautiful! thank you
Hi Krish,
Does this chatbot work with google gemini api as well?
Hi Krish. While typing from langchain_openai import ChatOpenAI, after entering the langchain (Which autoreflects) why the _openai is not reflecting in VSCode ? Also the "ChatOpenAI" is not reflecting automatically. Hope to get an answer, as you mentioned for 200 comments ! :)