LangChain Crash Course For Beginners | LangChain Tutorial

[@codebasics]

Check out our premium machine learning course with 2 Industry projects: codebasics.io/courses/machine-learning-for-data-science-beginners-to-advanced

[@devloper_hs]

How to do hugging face setup, do i need to just change OpenAI to Hugging face and model name to huggingface mode name? 😊

[@vijay_khanna]

Respected Dhaval Sir, This is one of the best training content i have seen. Your efforts (especially the Hindi courses) are accelerating India's pace to become a developed nation. Hats off to your Enthusiasm, and Commitment.

[@codebasics]

I am adding more videos in this langchain series (including end to end industry projects). Check this playlist: kzbin.info/aero/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F

[@SharathBJGowda]

Thanks!

[@WanderWarick]

So, to be honest its one of the best video on llm i have came across . even with little or no knowledge of nlp or dl i have understood the topic explained by u.. thnk u so much Dhaval sir for making these helpful videos that too free of cost

[@The7MinuteLife]

Very helpful. I especially appreciated seeing the details and use cases you showed and explained. I am new to these concepts, so having you explain the basics is invaluable. For example, one of my favorite sections was understanding the concept of how LLMs combine “reasoning” and “knowledge.” And, having you then walk through the actual examples is what makes this video one of the best I have watched. Thanks so much!

[@illiteratenerd]

I've been watching tutorials from past 10 months and This is the best tutorial to understand some of the foundation concepts of how langchain works.

[@shivrajpatil791]

How can someone be so good at explaining??... Hatsoff sir...🙌🙌

[@codebasics]

Thanks. I am adding more videos (including end to end projects) for this series, check this list: kzbin.info/aero/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F.

[@rohitpolasani7821]

This is what i have been waiting for . please make more tutorials on langchain

[@codebasics]

yes more tutorials including end to end projects on langchain and openai api are coming up! stay tuned!

[@eyad_aiman]

Sir you are my hero thank u so much I have improved a lot in deep learning and you are one of the reasons I trully don't know how to thank u, you are literally a legend

[@AashishPrajapati-nr2ox]

I didnot expect to learn about so many different things in addition to langchain. Thank you.

[@BalaSubrahmanya-g6t]

You made my day, the way you demonstrated is mind blowing

[@yeskumar78]

This video is truly remarkable. I sincerely commend your efforts; it serves as an excellent resource for individuals looking to begin their journey and delve into these technologies. Thank you for creating and sharing this informative content.

[@adarishanmukh4583]

Thankyou Sir it helped me a lot in understanding LLM wishing you good health and more success

[@ragapriyakarthikeyan3139]

Definitely worth the time 💯 I enjoyed every minute and your teaching motivated me to spend some more time about it😄

Hi! I'm watching this from Pitalito (Colombia 🇨🇴) while waiting my dinner 🍽️. Thanks for this learning material; it's great! Bye.

[@mattsavage3258]

Excellent video! I'm a longtime software developer, but found this useful as an intro to langchain. Thank you!

[@wong4359]

I've spent two days poring over the langchain docs without much clarity. However, your video provided the insights I was seeking and greatly enhanced my understanding. Thank you for the invaluable content!

[@chongdashu]

Thanks so much for this. I've made an updated version following along this course and also tried using an alternative framework (Gradio) for the front end app.

[@SamirPatel-dv8xm]

Good Job Dhaval, you made life easy for many Sr Software Eng. Keep it Up.

[@AkankshaChandolaAnthwal]

Thanks Dhaval for providing simple explanations and it was really helpful. Highly appreciate all your efforts.

[@agerman77]

Impressive course. You are an extremely wonderful instructor.

[@shaktisingh8217]

Very helpful. You explained everything smoothly, making it easy to understand. Thanks!

[@soudaminipanda]

Excellent Tutorials. Makes all basics completely clear.

[@atulonweb1]

Brilliant... Man this was crisp, clear content..

[@HarshShah465]

Thank you dhaval for providing easily understandable content.Waiting eagerly for this series on end to end llm applications.

[@EduljiBharucha]

Excellent tutorial! You sir were born to be an educator. I have watched a few tutorials on this topic. IMO this ~45m video trumps all of them. Thank you.

[@codebasics]

Glad you enjoyed it! 👍

[@Rubiks-t2e]

I ve been searching for a good intro video that explains langchain and explains why it matters with examples, I really appreciated your explanation, thank you for spending time to organize all this work for free.

[@behwrite5629]

Thank you so much. This video provides a lot of impressive information. Best regards.

[@grom6032]

you are directly in my top 3 favorite youtuber long life

[@dinushachathuranga7657]

Amazing video. Every part of the video is nicely explained. Bunch of thanks sir❤❤

[@ragus1416]

You are really doing good service! Keep up the good work!

[@abdulshaikh2401]

probably the best video i've seen on langchain you presented this booming topic in a very easy and understanding way....Thankyou so much dude you just gained one sub! ❤

[@rashmikiranpandit3411]

This really helped get me clear understanding amidst all the jargon on the web! Thanks!

[@codebasics]

Yay! That's awesome to hear! 😄

[@pattuchiitu8978]

Very helpful and crystal clear.. Thank you Sir ❤

[@maheshk4071]

Hi Dhaval Sir, The more i see your videos the more i like the way you teach. You make so easy to understand. And yes as you say i will not only see your videos but also do practice with it. Thank you vey much

[@codebasics]

Good luck mahesh for your leaning journey 👍🏼

[@tarasankarbanerjee]

Liked it a lot!! LangChain mystery unveiled!! 😊.. I'll definitely like to come back for more contents like this..

[@abhirupdas808]

As usual, HIGH quality lecture.❤

[@facundopedemonte]

Amazing explanation and tutorial. Thanks so much for creating this awesome content!

[@mohammedsaifshaikh422]

Hahaha that tanan tanan at 14:47 caught me off guard not gonna lie. Great video btw

[@kunalmehta4051]

Superb explanation, made it as simple as possible

[@leamon9024]

Thanks man. Looking forward to the introduction about agent in the future videos.

[@Deepakkumar-kr2fk]

Thank you so much it helped me a lot and learned a lot from this.

[@codebasics]

👍👍

[@balrajvishnu]

Enjoyed the entire training throughly

[@arunr2265]

As usual Dhaval rocks. Can't explain this better and clear

[@codebasics]

🙏🏼🙏🏼🙏🏼

[@satyaprakashmahalik6370]

That's an amazing Tutorial sir.Mazza agya

[@codebasics]

Thanks. There is an entire playlist I am building with some end to end projects. Check this: kzbin.info/aero/PLeo1K3hjS3uu0N_0W6giDXzZIcB07Ng_F

[@ralf.s]

Excellent introduction, thank you!

[@hariharakrishnanramanathan3805]

you r a best engineer when you type nmae for name - jokes aside - u r best ! thank you so much

[@mohamedmoftah9602]

Thank you very much . Clear idea , Good explanation , code attached in the description Really excelent

[@codebasics]

Happy you found this useful.

[@cheerstolife4821]

You are the best Dhaval sir!!!

[@MrWarrior12345]

Very nice and clear video. Thank you

[@gw1284]

very good tutorial on langchain with clear explanation and simple use-case, Thank you!

[@codebasics]

Glad you liked it ! 😊

[@dileepb5181]

Loved the explanation. Thank you for taking time to make such informative videos.

[@atchutram9894]

Well done brother. You made it easy.

[@raom2127]

Dear Dhaval Sir your video's explanation are awesome thanks for your efforts your are rocking star and AI IT-Celebrity.

[@saranyanedumaran57]

Great explanation to understand the concepts easily. Thank you

[@pythonantole9892]

Best intro i have seen so far.

[@codematrix]

Thank you. Keep them coming

[@ParthivShah]

Thank You Sir. love from gujarat.

[@lalofuentes3381]

Best tutorial about building apps using AI models I have found on KZbin!! I'm looking for a framework/tools that allow me to build my own specialized model and Langchain is probably the tool I need. There are still a lot of questions to answer, I wonder if I could use the Google AI API instead of the ChatGPT?? or how I could include my own knowledge and reasoning ?? I hope I can find the answers in your videos. Thank you very much for your work!!!

[@sakshambhardwaj_dance]

This video is so good. Very informative. Thank you.

[@BiranchiNarayanNayak]

Excellent tutorial, very well explained in step by step manner. I love it.

[@codebasics]

Glad it was helpful!

[@mtare8942]

Thanks for taking your time teach us

[@SHIVAJIP-s9i]

Your explanation is so good. Please do the videos on Langchain models like Langflow and Flowise. It will be very helpful.

[@abdalrahmanalielnashar4414]

Thank you sir for this awesome tutorial 😊

[@fabio2234]

This is an amazing tutorial!

[@dinispaes]

Great introduction video. Really good work. Thanks!

[@nareshkumarsiriveri3458]

Excellent one. got a basic idea how to proceed with my AI project.

[@sidharthpadhi2368]

Very Informative Session , I code along with you and learned a lot about langchain and LLM . bring more videos on how to connect with databases, other data sources so it can be more beneficial.

[@codebasics]

Thanks, will do!

[@quantumvideo3744]

@@codebasics hi i am using free model from hugging face how i link the pervious reponse for ask it like chatgpt to expand it ?

[@anfernychen3776]

Can't wait to see the next one on LangChain!

[@vivekthumu8992]

Thanks for your video course

[@oxytic]

I have been watching the your video last 4 years. All python and ML tutorial are great and comprehensive. Make video on How to create custom autonomous angent using Langchai like SalesGPT. Please kindly do the needful

[@prasadjayanti]

Watching second time just to check few items I missed in first watching. The video is important, simple & easy to follow 👏

[@upskillwithchetan]

Awesome 🎉 Dhavalbhai ❤

[@vishalharne7674]

you always put a lot of effort to taught something new which put us on mission to learn more thanks Dhaval sir

[@ifasal7449]

Thank you so much Dhaval Sir

[@techpentagon1014]

Best tutorial video on langchain

[@codematrix]

For the agent tools issue. I used Groq with the model of "llama-3.3-70b-versatile" It requires the "llm-math" to calculate the age correctly

[@HammerBanger]

Thank you so much. I am a bloody beginner, love your content. Do you perhaps have a beginner tutorial, that would show step by step a way to connect OpenAI with a mySql database. And feed that database with your personal data, thoughts, believes, favorite food, etc. perhaps with some categories, etc. It would be super interesting to learn how to feed and setup the Database with personal information and then connect it with the open AI LLM. Thank you so much, love your content! Keep rocking! 🙏🙏🙏

[@codebasics]

I recently made end to end video on LLM interacting with sql database. Please check the last few videos on my channel. It has a title LLM project for retail industry

[@p80mod]

@@codebasics Thanks, I'm not able to find this video, can you share a link?

[@avyaanverma8232]

This is a great tutorial for someone new to ai and llms and need some initial steps I got a great base to start from !! Can you please tell how does langchain decides agents for the model. and willl the agents work for different llms ?

[@monicanalawade3106]

Excellent. Waiting for more such video

[@VaibhavPatil-rx7pc]

Excellent detailed information thanks

[@nintishia]

Excellent tutorial. Thanks.

[@VikramSai.]

Thanks a lot sir.. very detailed explanation.

[@ANILKUKRETI]

Bro you have explained it very well. Shared this video with my friends also they are also liking it . That Restaurant example can relate it to zomato / swiggy. Keep it up.

[@codebasics]

👍😊

[@brainybits472]

mind blowing😍😍😍😍😍😍😍😍

[@phatdangx]

Thank you for your video, great explanation!

[@codebasics]

Glad it was helpful!

[@lucianomeireles2451]

excellent!! great work, thanks for sharing

[@reallifeer.sureshdeshbhakt8309]

Thank you sir, I saw Gen AI video it's very good because I am looking to work on AI but when I saw too much learning curve before creating any application than that things demotivate to me but your this video very good now I can start to work on AI .. THANKU SIR

[@sergioballesteros8418]

Thanks for sharing this knowledge

[@satyamedicherla3236]

Very clear! Thank you.

[@siddhumyl]

Thanks a lot for the wonderful tutorial

[@AnushaHublikar]

Really great one!, when I was trying this example I got error like please check your plan and billing details. Please help me in solving this

[@highflyer30]

same bro

[@shikharawat8096]

This is so good sir . Thankyou sir

[@sathishksuresh9460]

Awesome video brother 🎉

[@theq18]

Great introduction to langchains 👍

[@arunimachakraborty1175]

Thanks a lot sir. You made it so easy!

[@codebasics]

Glad you liked it ! 😊

[@riyasingla4724]

mine is not working showing rate limit error....can u pls tell me the reason

[@arunimachakraborty1175]

​@@riyasingla4724 for openai, you have to create your own api key.

[@codebasics]

CLARIFICATION: OPENAI recently released openai functions that allows you to query external data source such as the database of your organization. In the initial slides i explained 3 reasona of using langchain out of which the first one is still valid (cost effectiveness ny using open source models such as hugging face bloom) but the other two reasons are something that can't be achieved using plain chat completion api but can be achieved using openai functions and future apis that they release. The summary of benefits of using langchain woule be as follows, 1) ability to plug in any type of model (openai gpt4 vs open source model such as hugging face bloom) 2) abstraction that makes development faster. E.g. prompt templates

[@PubgSpeed-wl8yo]

Haha bro, don't worry about showing the key, you can remove it after the end of the video tutorial, shoot with the key and don't worry.

[@RahulAditya-m5p]

Thanks the video was helpful. The LLMChain is deprecated in newer versions. Instead we can use | operator like prompt_template_name | llm. But I am not sure how to provide output variables using the | syntax. One workaround I found was using RunnableSequence

[@phoenix-risez]

Very good info. Thank you so much for sharing!

[@codebasics]

👍🙏🙏

[@jahangirkhan3747]

As usual a great tutorial sir 👍 . Eagerly waiting for your data science paid course sir. It would be really helpful if you could let us know when you are going to launch the paid course for date science ❤❤❤