End To End Advanced RAG App Using AWS Bedrock And Langchain

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In this video we will be creating an end to end RAG App using AWS bedrock and Langchain using streamlit
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great end to end project of RAG. This guy should be given Arjun Award !!!!

newsxreactions
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Hey Krish

This was a great tutorial and huge thanks for sharing knowledge. Bedrock provides the ability to create knowledge bases for your LLM which can be used in place of FAISS. The knowledge documents can be stored in S3 buckets and can be provided to llms.

Would like to see an end to end example where you make use of all bedrock features (e.g. knowledge bases, agents, etc.) to create a more advanced application where we invoke remote services via bedrock agents, query knowledge basis and the provide everything to llms to get the final response. Happy to collaborate on the same.

YashRaithatha
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Hi, I have seen people talk about advanced fine tuning methods such as LORA and PEFT. If possible, please make a video implementing these techniques or atleast some insights on these topics. That would be greatly appreciated!!

seanrodrigues
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Very good tutorial, clear and easy to follow, thank you :)

Suggestions for future videos:
Is there a way to use AWS Bedrock RAG feature programatically? So far I can only find examples of using it in the UI.
Im also interested in CrewAI if you want to do a video with integrating it with Bedrock.
Id also be interested in a video on how to use different models. Permissions, forming the dictionary in python etc.

Thanks so much.

moglimogify
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Hi Krish, You provide the best content ever. Love the way you explains. (mentioned monitor URL link is wrong it seems wrongly pasted. Update if required)

AnudeepTirumalasetty-ds
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Hi Krish,
Can u show the same example using llamaindex for indexing and rest part with langchain as u have showing in llamaindex vs Langchain video

nirobkrdas
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Can you please upload videos on different prompting techniques

avanthikar
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Hi krish, Im from UK and i cannot use Gemini AI is there any alternative way that i can use this and do projects ?

dzwugtf
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@Krish Sir, can I use offline aws bedrock if I have such use case to work with company data

SantK
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Hello krish sir, I was working in genai t2I please upload some approach which will track me in right way for custom data, kindly requesting upload videos related LIM also .

stressrelaxationmusicchann
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You said Claude and used AI21 labs Jurassic model 😅

saihrudaypidatala
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Does this also give relevant images from pdf in answer along with text?

saumyajaiswal
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you have explained it for PDF files, what if I would like to have CSV files and will be having 100's of files and each file has mutiple columns and 100s of rows. Need to ask some NLP questions and generate some graphs or dependecy maps amongest files. shold that be possible in the similar way you have explained in this video? if not CSV files I might use JSON files too!

ramu
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Hi, I do not have model access due to grant permission, I requested but how could get access from Amazon bedrock, is there any other way to have this?

mahikhan
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Can we monitor this using the Langchain Interface? in Langsmith..

smartsoothing
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Model id show in the video for claude is incorrect. The video shows an AI21 model. The model ID should be anthropic.claude-v2.

KaranSingh-efmf
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Its a request to make a paid course where you can teach scalable LLM app.

farhansiddiqui
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I want to join your course I m in uk is it possible?

SaurabhBhatt
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Hey, Amazing video! Just wanted to ask how can I connect my database and provide information stored in tables instead of PDF's.
Please let me know cause I/m badly stuck in this part :(

AlfazVahora-ukfb
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Hey Krish, Could you please share pdf that you were referring in your code. I am getting ValueError: The de-serialization relies loading a pickle file. Pickle files can be modified to deliver a malicious payload that results in execution of arbitrary code on your machine.You will need to set to `True` to enable deserialization.

neerajchouksey