Building RAG based model using Langchain | rag langchain tutorial | rag langchain huggingface

Building RAG based model using Langchain | rag langchain tutorial | rag langchain huggingface
#datascience #ai #chatgpt
Hello,
My name is Aman and I am a Data Scientist.
You can help Nandini here :
UPI ID : karthikkt32@okhdfcbank
All amazing data science courses at the most affordable price here: www.unfolddatascience.com
Book one on one session here(Note - These supports are chargable): docs.google.com/forms/d/1Wgle...
Follow on Instagram: unfold_data_science
Topics for the video:
rag in langchain,
rag in langchain pdf,
rag langchain tutorial,
rag langchain llama,
rag langchain chromadb,
rag langchain huggingface,
rag langchain js,
langchain rag,
langchain rag tutorial,
lanchain rag chromadb,
lancghain rag,
langchain rag agent,
langchain rag llm,
langchain rag aws,
langchain rag js,
langchain rag code,
About Unfold Data science: This channel is to help people understand the basics of data science through simple examples in an easy way. Anybody without prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at a high level through this channel. The videos uploaded will not be very technical in nature and hence can be easily grasped by viewers from different backgrounds as well.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie - amzn.to/37wMo9H
Python Data Science Handbook - amzn.to/31UCScm
Business Statistics By Ken Black - amzn.to/2LObAA5
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron - amzn.to/3gV8sO9
Category 2 - Overall Data Science:
The Art of Data Science By Roger D. Peng - amzn.to/2KD75aD
Predictive Analytics By By Eric Siegel - amzn.to/3nsQftV
Data Science for Business By Foster Provost - amzn.to/3ajN8QZ
Category 3 - Statistics and Mathematics:
Naked Statistics By Charles Wheelan - amzn.to/3gXLdmp
Practical Statistics for Data Scientist By Peter Bruce - amzn.to/37wL9Y5
Category 4 - Machine Learning:
Introduction to machine learning by Andreas C Muller - amzn.to/3oZ3X7T
The Hundred Page Machine Learning Book by Andriy Burkov - amzn.to/3pdqCxJ
Category 5 - Programming:
The Pragmatic Programmer by David Thomas - amzn.to/2WqWXVj
Clean Code by Robert C. Martin - amzn.to/3oYOdlt
My Studio Setup:
My Camera: amzn.to/3mwXI9I
My Mic: amzn.to/34phfD0
My Tripod: amzn.to/3r4HeJA
My Ring Light: amzn.to/3gZz00F
Join the Facebook group :
groups/41022...
Follow on medium: / amanrai77
Follow on quora: www.quora.com/profile/Aman-Ku...
Follow on Twitter: @unfoldds
Watch the Introduction to Data Science full playlist here: • Data Science In 15 Min...
Watch python for data science playlist here:
• Python Basics For Data...
Watch the statistics and mathematics playlist here :
• Measures of Central Te...
Watch End to End Implementation of a simple machine-learning model in Python here:
• How Does Machine Learn...
Learn Ensemble Model, Bagging, and Boosting here:
• Introduction to Ensemb...
Build Career in Data Science Playlist:
• Channel updates - Unfo...
Artificial Neural Network and Deep Learning Playlist:
• Intuition behind neura...
Natural language Processing playlist:
• Natural Language Proce...
Understanding and building a recommendation system:
• Recommendation System ...
Access all my codes here:
drive.google.com/drive/folder...
Have a different question for me? Ask me here : docs.google.com/forms/d/1ccgl...
My Music: www.bensound.com/royalty-free...

[@rajapinja9297]

Wow..simply superb

[@AInotebooks]

perhaps, the best RAG explanation on RAG model

[@PhotoShareLinks]

To the point.
Well done Aman.

[@debirath4916]

as always precisely perfect...

[@abhiramvaranasi_1432]

Nice video explain langchain in detail for beginners with zero knowledge

[@amolamahajan]

Aman - this is great. yes we need videos on LangChain.

[@user-jp3ez5vb6h]

THank you Sir, awesome

[@brijeshkp2000]

Thanks a lot Aman. probably best explanation of RAG for beginners like me. Waiting for your langchain video

[@ayyanarjayabalan]

You are awesome. Do videos on langchain.

[@georgechristy11]

Never heard about langchain, very informative video. Also, I wanted to know if you have any suggestions for implementing a time series models?

[@PinkFloydTheDarkSide]

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.

[@ryu_no_kagizume]

Awesome video!
Sir are you working in TCS? 😅

[@paragjadhav5142]

Please create a separate video on Langchain

[@stevejos8235]

very informative video, i was wondering which retriver model you use

[@radheshyamdhote2017]

Not aware with langchan and please take end to end real time project but cover everything from scratch like creating environment and all .

[@stanTrX]

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?

[@AnilKumar-im2ur]

Very informative Aman, Could you please make one end to end real time llm model using Lang chain in detail.

[@UnfoldDataScience]

Thanks anil, sure

[@rajapinja9297]

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

[@krishnamurthysreeramulu1699]

While i am trying to integrate openai embeddings i get this error as need to pip install sentence transformers ..

[@kannansingaravelu]

how do we use prompt template when using "create_conversational_retrieval_agent"

[@I_Anupam_Pandey]

Very informative video sir can you also share the source code in description of the video

[@vishalgarg7207]

Can I get the notebook please?

[@mahipatil369]

Hello sir please make seperate video on langchain framework.., I am waiting..

[@robinverma1165]

I can't find the code for this video. Can you please share.

[@amritapal4096]

Hi sir I m not familiar with Langchain . Request you to please create videos on the same . Thanks in advance 🙏🏼

[@UnfoldDataScience]

Ok sure

[@golubagdwal9219]

Where is the jupyter notebook? Not able to find it in the drive.

[@cha5848]

hey did u found the notebook?

[@gunaseelana153]

Need langchain basics separate video

[@user-cl4pd9mt5n]

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]

Same error.

[@atulkishore9159]

​@@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.

[@mandarmore.9635]

[@TanankiRohit]

Please build few complex ones with comples use cases like in real time project. It really help everyone @unfolddatascience