Excellent Introduction to RAG system. Aman has a skill of understanding what information needs to go into a learner's brain first and what should come next. This makes the lectures very easy to understand and follow.
Just Perfect! BUT, Aman! Please make a lecture on how to train our own machine learning model based on a CSV dataset (classification), run it on the Huggingface/AWS-cloud, and integrate it with the LLMs (probably using RAG for best response). I want to create an alerting system in which the driver should be alerted if he approaches to an accident-prone area (based on the prediction of the ML model and the live location of the driver, possibly received from google map API). I think many APIs should be integrated, such as Google Maps for providing live stream of data and the road conditions, the Fast API/Flask, and many more that you know better. Thank you!
This is a great video. Thank you. I just get started to watch your great videos and will look for your tutuorial video on langchain, streamlit and other AI development tools and environment. Thank you very much again.
thanks and yes please explain more about retriever part 15:58 . my other question is do i have to embed the documents each time i execute the program, probably not but how to avoid it?
Very well explained. I have watched the video multiple times to learn and freshen up RAG concepts. If you could also make a video about basics of LangChain concepts, that will be much appreciated. Thank you!
Thanks Aman for great video. However, there are some questions that went unanswered. Your video title mentions using hugging face but you used openai. Do you know what hugging face model can give us similar analysis? Another question and a very important one is that let's suppose we are using an excel sheet data base. Now I want to create a chatbot that can answer me questions like what is sum total of the amount? I am sure openai understand what sum total means so it will simply sum it and give us that. But what if i want some custom operation on the amount field which openai doesn't know but i want it to fetch data from the sheet, check for custom function in my python code and apply that fucntion and give me output? Traditionally, we do that without LLM where our code pulls data and perform operation. But how to do that utilizing open ai. I hope you get my question.
How to generate the Best email subject lines from messages by providing some set of rules or instructions. with RAG and LLMs? could you please suggest me some thing on this
Hi Aman, Your videos are very good, but can you do a simple video where we need minimum model required to perform these programs, I believe you are using paid versions where we cannot have access to practice,..appreciate if you give us more such details for practicing the smae
I am getting an error: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. , is anyone else facing the same issue. It has something to do with OpenAI API limits. Please let me know if anyone has any solution for this.
Guys, you have consumed your quota, you cant use the same key now without purchasing the plan. So solution is to buy plan. Workaround - create a new account in openai with new email id and use new key.
BadRequestError: Error code: 400 - {'error': {'message': "'My Fav Book Atomic Habits' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'functions.0.name'", 'type': 'invalid_request_error', 'param': None, 'code': None}} i got this error in last line of code can you help me solve this
@@varunmadhavan3227 Try storing keys in a separate file in the jupyter notebook and then call it in your notebook using os. This might solve this issue. Best of luck.
perhaps, the best RAG explanation on RAG model
Great content, thank you for the clear explanation. Keep up the good work!
Excellent Introduction to RAG system. Aman has a skill of understanding what information needs to go into a learner's brain first and what should come next. This makes the lectures very easy to understand and follow.
Thanks a lot Aman. probably best explanation of RAG for beginners like me. Waiting for your langchain video
Just Perfect! BUT, Aman! Please make a lecture on how to train our own machine learning model based on a CSV dataset (classification), run it on the Huggingface/AWS-cloud, and integrate it with the LLMs (probably using RAG for best response). I want to create an alerting system in which the driver should be alerted if he approaches to an accident-prone area (based on the prediction of the ML model and the live location of the driver, possibly received from google map API). I think many APIs should be integrated, such as Google Maps for providing live stream of data and the road conditions, the Fast API/Flask, and many more that you know better. Thank you!
One of the best videos on RAG. Thanks a lot!!
This is a great video. Thank you. I just get started to watch your great videos and will look for your tutuorial video on langchain, streamlit and other AI development tools and environment. Thank you very much again.
Nice video explain langchain in detail for beginners with zero knowledge
Best Explanation of RAG
To the point.
Well done Aman.
thanks and yes please explain more about retriever part 15:58 . my other question is do i have to embed the documents each time i execute the program, probably not but how to avoid it?
Nice Explanation dear Aman.Thank you so much !!
Wow..simply superb
Very well explained. I have watched the video multiple times to learn and freshen up RAG concepts. If you could also make a video about basics of LangChain concepts, that will be much appreciated. Thank you!
Very informative Aman, Could you please make one end to end real time llm model using Lang chain in detail.
Thanks anil, sure
You explain concepts very well. It would be great if you could provide a video about LangChain.
Aman - this is great. yes we need videos on LangChain.
You are awesome. Do videos on langchain.
It was really great. Kindly make session on langchain
Hi aman, this is simply superb, could you please do a video on complete end to end RaG with Agents, Thank you
God Bless her Dear.
Excellent Explanation, Thanks
Wonderful video. Very informative.
Glad it was helpful!
as always precisely perfect...
very informative video, i was wondering which retriver model you use
Never heard about langchain, very informative video. Also, I wanted to know if you have any suggestions for implementing a time series models?
wow..excellent explanation
Glad it was helpful!
Not aware with langchan and please take end to end real time project but cover everything from scratch like creating environment and all .
Can you explain what are the critical interview questions on gen ai?
What are the types of RAG's? Can you make a video on indept?
Thanks Aman for great video. However, there are some questions that went unanswered. Your video title mentions using hugging face but you used openai. Do you know what hugging face model can give us similar analysis?
Another question and a very important one is that let's suppose we are using an excel sheet data base. Now I want to create a chatbot that can answer me questions like what is sum total of the amount? I am sure openai understand what sum total means so it will simply sum it and give us that. But what if i want some custom operation on the amount field which openai doesn't know but i want it to fetch data from the sheet, check for custom function in my python code and apply that fucntion and give me output? Traditionally, we do that without LLM where our code pulls data and perform operation. But how to do that utilizing open ai. I hope you get my question.
THank you Sir, awesome
Dear Aman, Can you please share the negative test scenarios for the agent. Keeping the same pdf
How to generate the Best email subject lines from messages by providing some set of rules or instructions. with RAG and LLMs? could you please suggest me some thing on this
Hi Aman, Your videos are very good, but can you do a simple video where we need minimum model required to perform these programs, I believe you are using paid versions where we cannot have access to practice,..appreciate if you give us more such details for practicing the smae
Please create a separate video on Langchain
how to keep my vector database uptodate? everytime I have to change the data stored in it?
how do we use prompt template when using "create_conversational_retrieval_agent"
Awesome video!
Sir are you working in TCS? 😅
Hello sir please make seperate video on langchain framework.., I am waiting..
Verywell explained but title should be changed to opeai. RAG is explained greatly!
Can we use pdf instead of code workspace folder
Please create Langchain detailed video
Can you explain BMM25,Reciprocal Rank Fusion (RRF),Maximal Marginal Relevance (MMR) with relevance with RAG ..Thanks for valuable explanation.
Hello there not familiar with langchain basics please please make a video. thank you
Thanks for ask - will do Yash
While i am trying to integrate openai embeddings i get this error as need to pip install sentence transformers ..
Where did you use huggingface here?
exactly 🤣
where can I find the codes it is'nt available in the gdrive link!
Can you share the code please? Its difficult to find in the folder shared .
Very informative video sir can you also share the source code in description of the video
Hi sir I m not familiar with Langchain . Request you to please create videos on the same . Thanks in advance 🙏🏼
Ok sure
I am getting an error: Error code: 429 - {'error': {'message': 'You exceeded your current quota, please check your plan and billing details. , is anyone else facing the same issue. It has something to do with OpenAI API limits. Please let me know if anyone has any solution for this.
Same here , i am also getting same error for me as well. i have created API key in openai site. It is getting same error as above.
Guys, you have consumed your quota, you cant use the same key now without purchasing the plan. So solution is to buy plan.
Workaround - create a new account in openai with new email id and use new key.
BadRequestError: Error code: 400 - {'error': {'message': "'My Fav Book Atomic Habits' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'functions.0.name'", 'type': 'invalid_request_error', 'param': None, 'code': None}} i got this error in last line of code can you help me solve this
Same error.
@@varunmadhavan3227 Try storing keys in a separate file in the jupyter notebook and then call it in your notebook using os.
This might solve this issue. Best of luck.
I can't find the code for this video. Can you please share.
Can I get the notebook please?
Where is the jupyter notebook? Not able to find it in the drive.
hey did u found the notebook?
I am wondering this too
Is anyone able to find this RAG code in his google drive? I am not able to find it so far
Visit github
@@UnfoldDataScience not able to find on github. Can you please share the path.
Need langchain basics separate video
I am facing issues while using API key. where and how i can get this OPENAI_API_KEY for free ?pls help
Need to create using own account
NOTEBOOK FILE?
In GitHub, link in description
Please build few complex ones with comples use cases like in real time project. It really help everyone @unfolddatascience