Complete Langchain Course For Generative AI In 3 Hours

LangChain is a framework for developing applications powered by large language models (LLMs).
code github: github.com/krishnaik06/Update...
LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.
Timestamp
00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain
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Support me by joining membership so that I can upload these kind of videos
/ @krishnaik06
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Fresh Langchain Playlist: • Fresh And Updated Lang...
►LLM Fine Tuning Playlist: • Steps By Step Tutorial...
►AWS Bedrock Playlist: • Generative AI In AWS-A...
►Llamindex Playlist: • Announcing LlamaIndex ...
►Google Gemini Playlist: • Google Is On Another L...
►Langchain Playlist: • Amazing Langchain Seri...
►Data Science Projects:
• Now you Can Crack Any ...
►Learn In One Tutorials
Statistics in 6 hours: • Complete Statistics Fo...
End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's
Machine Learning In 6 Hours: • Complete Machine Learn...
Deep Learning 5 hours : • Deep Learning Indepth ...
►Learn In a Week Playlist
Statistics: • Live Day 1- Introducti...
Machine Learning : • Announcing 7 Days Live...
Deep Learning: • 5 Days Live Deep Learn...
NLP : • Announcing NLP Live co...
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[@michaelomosebi6374]

You've definitely motivated to push my timeline to learn Langchain with your video. Thanks

[@sushil_ds_18]

The Most wanted video in recent times. Astute that we are getting from you Krish!. YOU ARE THE BEST TUTOR TO TEACH COMPLICATED CONCEPTS IN A MOST SIMPLIFIED MANNER. Keep up your good work..

[@v5q211]

I feel the need to say this. This channel is currently the best to learn anything related to AI. It's all for free, there is no excuse to not learn.

[@subirmyspace]

Thank you for bringing all together ❤

[@peterssondutta7396]

Needed this Sir.
Thank You!

[@themagicalbrain]

Thanks a lot, Krish! Love your videos and I learn so much from them!

[@aameenmd6659]

you are doing an awesome job by giving this exclusive knowledge for free, not even paid courses might have the knowledge you provide. amazing work sir, keep growing

[@satyajitnayak587]

Thanks Krish, for a very comprehensive and useful session packed in this lecturer. Good to know the steps for hands-on !!

[@DxActivity]

Great , fully covering the topic. Thank, looking for next

[@ravi1341975]

Always looking for the notification for these stuffs,Krish.

[@ayushsharma7535]

Best ML tutor i meet
Thank You Krish Bhaiya for providing the best resources .....

[@amey7064]

The best person to learn AI right now.

[@mehdi9771]

Thanks from Morocco ❤

[@SuperRia33]

Exactly what I needed and at right time, this video is goldmine

[@Mrudula222]

Just opened CZcams to see if Krish has uploaded any video about LangChain and voila! Thank you Krish. Few mins into the video and I know this is going to be GOLD.

[@dixitnegi9396]

Your videos have been clearing up more doubts about data science for me Thanks for that brother Keep up the good work.💌

[@bepostiveman]

i want to do big comment so first let me see this vedio
🤩🤩🤩krish you are my fvrt hero in technical field

[@nanusha303]

thank you so much krish for all your efforts

[@saketbhojane5697]

Thanks you for your efforts Krish sir

[@shubhamsharmaofficial04]

Thanks for bringing this video ❤

[@hrmanager6883]

Very nice of you to contribute

[@user-ci4pv5yp9l]

Awesome stuff. Concepts explained in a simple manner as always

[@traeht]

Krish, thank you for your work :)

[@FAX_41]

Brilliant Video!

[@chandrasekara2103]

Thanks for this video, I needed this. :)

[@deepakmalik2751]

Thanks krish for everything!

[@drjodyannjones]

LOVE the new haircut Krish!

[@AVINASHS-uk8km]

Thank you sir❤

[@Anurag-singh-bhandari]

Thanks sir always grateful to you...

[@pravinshende.DataScientist]

its awesome .. thanks a lot sir

[@foysalmamun5106]

Thank you Krish.

[@abuhaneefahabdulfatah5654]

Thank you for the great works.

[@shalabhchaturvedi6290]

Big Thanks Krishh!!!!

[@sahilgarg94]

Thanks for the knowledge.

[@Ajaykumarkv-ss4un]

Excellent stuff!

[@vikashkumarupadhyay2538]

Love The Content

[@yogeshkumark587]

Thanks a lot krish..❤❤..

[@Rajkumar-rg2vx]

Great 👍 thankyou sir!

[@dibyajyotimohanty9150]

Love it sir

[@gymdirections8372]

Respect for you Krish sir

[@ehtishamasghar6222]

Thanks Krish 🙂

[@VinceOmondi]

Thanks for sharing!

[@pranavdarekar5811]

Needed this

[@dakshpatel4557]

❤️❤️💯make more videos on langchain sir

[@ChanduAki-ht5xv]

Thanks a lot, Krish! Love your videos and I learn so much from them!
Can you please share some projects for implementing this GenAI

[@BabaAndBaby11]

Thank You Krish

[@mishraddev]

Big fan sir

[@somnathdutta6311]

thank you so much

[@KonkumuttiSaiKrishna]

Hi sir,from the past i am seeing your videos thanks for sharing the wonderful knowledge with us. sir please make one video on the evaluation after creating llm model with rag like q&a chatbot after creating how can evaluate the model. please make video on evalaution it is very helpful.

[@tapabratacse]

thanks for this video

[@VivekRauniyar-cr6ig]

Thanks man

[@shajahanshan4626]

Thanks for this video

[@manikantaanguru2517]

Thanks Krish

[@Developer367]

Thank you!

[@FatToFit31]

Awesome, sir.

[@ankanganguly9900]

Good informative video

[@shaneebtherobomaker3794]

Super Video

[@ShyamaKalandoor]

Great videos. Look is even better

[@harshitupadhyay6008]

🔥🔥❤️

[@kumarsanu2499]

great work

[@bajiranisarikonda8963]

Very good session

[@CE_AKSHATGUPTA]

Amazing

[@pankajkcodes]

Good course

[@smnivetha100]

hey your videos are amazing , it helps a lot to stay updated with technology ..Can you please make more videos on promptfoo aswell which is used for testing the prompts like prompt engine

[@yousefunfiltered]

you are great

[@rahulkumar-op7ul]

Nice video sir

[@shahn1310]

Thanks Krish for your awesome community work by teaching free, If possible could you please post video on Oracle Vector database 23ai how we can leverage its features using langchain

[@ChiranjibPatra]

Krish is fantastic!!! I am not sure whether learning of LLM is helpful in current scenario.

[@sahiljatoi813]

It was fascinating video and I learned a lot from this video
I just wanted to tell you Krish that in your last module the video is stuck

[@sarthaksinha9340]

Nice Video

[@user-hs5og1pt8b]

zabardast

[@lionelshaghlil1754]

Dear Krish, Thanks for your dedication and useful work,we appreciate very much if it is possible please to illustrate how to deploy a local LLM on a server as a docker. Thank you indeed

[@thearmanahmed_]

Nice tutorial

[@sanchitkanojia5460]

Add this video into the playlist

[@MohemedMisfar]

Great explanation Krish. Can you make a seperate video for the comparison for the LLM models? So, we can choose which one is better for our purpose.

[@adityavipradas3252]

Is the LangChain course completed? Looks like this is the combined video of all short videos. Thank you, Krish.

[@gatheaditya]

great video

[@mohamed_deshaune]

Hey Krish, thank you for your all valuable content. i want you to make a Crewai series. hope you see this comment thanks

[@ashraf_isb]

like and commenting for targer kept by sir 😀😀😀

[@karthiksrinivas8917]

nice contents

[@user-de9gl2yq4u]

❤

[@data8758]

Hey Krish. One suggestion. please mention prerequisites for any long video you're uploading.

[@shyamkirankotnana]

First comment ❤

[@neerajgaurneeru2898]

Nice explain, krish please provide a video for deployment flask app on azure , how we can integrate live with client interaction

[@evilshadow2465]

thankyou sir for the above course, sir can you make a video on all the workflow or architecture of chatbot and Q&A bot , pdf search , multiple pdf search , multiple agents and many more , just the flow or architecture of it . we are having a little bit confusion in these , documentation is not helping in it. thanks

[@BhuvanWebOsmo]

There's no better person to explain gen ai as simple as you sir. Thank you sir

[@EkNidhi]

what is lang chain api key ?? where i can get it??

[@BhuvanWebOsmo]

@@EkNidhi czcams.com/video/lecY8PGvzgY/video.html

[@lwjunior2]

Thank you Krish. Can you please re-upload video 8 in this series, it was frozen

[@jaychauhan2933]

Hi Krish, amazing work and you are doing great job that you are sharing the knowledge i have learned data science mostly by watching your video. It will be great if you could create playlist on deploying LLM chatbot at production level like how we can deploy it on cloud . can you create video on production grade llm chatbot and how to deploy it cloud using DOCKER AND COUD PLATFORMS LIKE (AWS,GCP,AZURE). I will be very grateful if you could consider my request.

[@ashish-blessings]

Thanks Krish😅

[@aameenmd6659]

hey Sir, great video just had a query, what if I want to host an API in which I used the locally loaded ollama models, how would I do that?

[@KumR]

Hi Krish - Is this combination of both of your playlists?

[@fahimmahafuzruhad9485]

hello kris, as I have not that great configuration regarding to learn this, as in my laptop there is no GPU. But I have learned object detection with using google colab, Are those code can be applied through google colab?

[@sthecliff9088]

Can you please do videos on dialogflow aswell

[@yuvrajgupta8182]

Can we do Langchain on Colab if yes are there any changes in the steps to followed from that given in video or not?Pls answer

[@pranitithape9934]

Hey Krish , Please try One project in React along with python

[@seththunder2077]

@Krish Naik some of us use closed source models but we still wanna cover our sensitive data. LangChain has integration with things like Microsoft Presidio and Faker library but can you show us how to integrate that in our RAG pipeline with custom data in presidio and faker? This

[@gargisingh9279]

Thank you @krish sir , I was working on mistral 7B yesterday using langchain I was getting error when loading model saying it is a gated repo .
How can I use that ? Please help me on this .

[@user-wj4ce4gi6n]

Thank you sir, Does Langchain support the Arabic language

[@immortal2.036]

😎😎😎😎😎

[@rajbir_singh0517]

i am watching this tutorial first time. you didnt mentioned from where langchain api is taken?
can anyone please tell ?