LangChain Master Class For Beginners 2024 [+20 Examples, LangChain V0.2]

[@padhuLP]

Brandon, I am nearly 70 years old and I have been a programmer for over 4 decades. I started as a Cobol programmer and been updating my skills as I went along. Never has been my learning at such a rapid pace as it is in the last year or so since all the AI tools have been arriving. I had just a basic knowledge of Python earlier, but now I have been able to do wonderful things with what I can develop with AI agents using tools available. Your tutorials have been the best I have seen so far. I can't thank you enough for providing the complete source code and explaining very well everything in your videos, including the environment setup. Keep up the great work!

[@2TanishChavan]

Sir 🫡

[@Akuma7499]

❤

[@infraia]

What a great story! I am sure you are doing amazing work!

[@markus_dev_cwb]

Wow. Tks to share your story.

[@stevemcclintock309]

@padhuLP WOW thats awesome that you are still doing and learning at 70. You must be an amazing person, more young people meed to take some tips from you on life lessons. Even better I assume you are retired and doing all this for fun? I only hope I can live and learn as long. Keep be inspirational and take care for your future, Love from N.Ireland ❤

[@EthicalStar]

I usually do not comment on videos. But, Let me ask one thing I have tried multiple langchain tutorials. Even paid But this is the best tutorial. the instructor is easy to understand.

[@bartolli74]

Brandon, this LangChain tutorial is hands down the best I've seen! You nailed all the fundamentals and went deep into the details in such a human and relatable way. Your style makes complex stuff super easy to understand, and the practical examples are spot on. Love that you didn't push any products, just pure high-quality content focused on real value!! This is a must-watch for anyone diving into the matter. Huge thanks for creating such an awesome resource!!! I'll never look back at any other framework after understanding the power of LangChain. I hope you'll create a tutorial with the same level of detail for the new LangChain GenUI. Your style makes learning so much more enjoyable and effective! Thanks for all the great content!

[@tayyabshahzad10]

This tutorial is much needed. Please create one on Langgraph as well.

[@2TanishChavan]

Yes 🙏 pls

[@ArianeQube]

Yes, please. This is pure gold !

[@bhancock_ai]

Great suggestion! I’ll definitely add a LangGraph master class to the queue for you guys! 😁 And I created this tutorial because the docs for the new version of LangChain are kinda confusing. I’m hoping this video will help everyone spin up on the new version! If you have any questions on anything, please let me know!

[@tayyabshahzad10]

​@@bhancock_aiYou're right! I started working with LangChain about a year ago, and now that I need to use it for my current project, almost everything has been deprecated. It was very frustrating at first. Also your CrewAI+Groq video is very good for learning purposes.❤

[@abax_]

@@bhancock_ai Yes plz and show how to use function tool calling and react agent with chathistory in it able to use doc store to retrieve information and plz with open source model like chat groq that after making the application can be swapped with gpt so on that structure

[@rikhavthakkar2015]

Surely one the best tutorial videos I have come across on youtube so far. Not just for Langchain.....but across all the video tutorials for any technology I have seen so far......This is precise, crisp... hits the nail on the head with the learnings!!! and the best thing is it packs so much in.. like a crash course.. not wasting any time at all on typing the code during the recording... saves a lot of time and does not digress the listeners attention!! @brandon you are a good teacher and you know how to hold attention of students like me who sometimes never go beyond 10 mins into the video if the teacher is not able to hold attention and present him/her self well !!! SUPER JOB!!! FORMAT of the Training EXCELLENT!!!

[@robsucher9419]

I agree with all the comments - yours is a great video and best I've seen on LangChain. It's been a few months since I used LangChain and your video was a great 'soup to nuts' refresher. One thing I found is that when running the RAG examples, "TextLoader(file_path)" would often fail because of the content of (some of) the text files , but changing it to "TextLoader(file_path,encoding='utf-8')" fixed it.

[@lalitgehani]

If you run into encoding issue while running 1a_rag_basics, then modify TextLoader command as below loader = TextLoader(file_path, encoding="utf-8")

[@JCamiloVargas]

Thanks for pointing that out

[@NicholasGlanvill]

Brandon you're an expert teacher. I'm sure you're an outstanding programmer, but my word guy, you're a helluva teacher.

[@bhancock_ai]

Thanks Nicholas!! This made my day 😁

[@abhijithkadam383]

Hey Brandon, I'm a Data Engineer. Currently, Transitioning into RAG's and LLM's. This is THE BEST course which is very well structured and easy to understand how all the topics are linked with each other. I really appreciate the hardwork you've put in. All the best.

[@robel_asefa]

Wow, this LangChain Crash Course was amazing! It broke down the concepts way better than the official documentation. I learned so much from this video, I just had to come online to say thanks! 😂 Really clear and to the point. Please keep making more videos like this on LangChain, LangGraph, and similar stuff! Thanks again! 🙏🙏🙏

[@testfirsttestlast706]

This is by far one of the best courses on youtube, hands down. Brandon is great! (disclaimer: I don't know Brandon personally)

[@cristobalml9460]

Great tutorial... Now I started to understand better Langchain... I bought one Langchain course from Udemy and after watching the first section I just got lost and frustrated... Your explanation is far better... Thanks a lot... Liked and subscribed... definitely I will watch more videos from you.... Thanks again!

[@manikira19]

Brandon, I'm new to langchain and GenAI in general. Your masterclass is truely masterclass. On the scale of 10, I would rate it 11. So well structured and demonstrated with examples.

[@turglow01]

If anyone is having trouble running the 1a_rag file around 1:33:00, the solution that worked for me was to change line 24 to: loader = TextLoader(file_path, encoding = 'UTF-8')

[@PetronasBoyy]

Best tutorial on YT by far, Langchain docs are soo scattered and with agents and persistent memory, it becomes a nightmare for new ones like me.

[@akshayyajurvedi1552]

I dont usually comment on videos. But you have given me the equivalent of map to the laugh tale in ONE-PIECE! Thanks Brandon, grateful for this knowledge.!!

[@storagefreak]

Brandon, this course is outstanding! It's exceptionally well-structured, clearly explained, and superbly produced. I aspire to create tutorials to my channel with half of the quality you've got here :)

[@subhromukherjee14]

Hi Brandon, Thank you so much for putting together this Master Class. Previously, I was watching videos of older Langchain versions and encountered many changes and warnings when coding. Those videos had numerous gaps. After watching your videos and coding along, I’ve found it much easier to follow the entire Master Class. Your explanations are very clear, and your visual diagrams greatly help in understanding the flow. Thanks again!

[@patalunavi1491]

Hi Brandon, I just wanted to express my gratitude for your incredible LangChain tutorial. Your explanation was crystal clear and went straight to my head. I’ve watched numerous tutorials, but none have provided the depth of information and clarity that yours did. Because of this, I have a special request: could you please create a similar type of video on LangGraph? Your teaching style is truly exceptional, and I’m confident that a tutorial from you on this topic would be immensely beneficial for many learners like myself. Thank you so much for your hard work and dedication!

[@aswindesign]

This tutorial is absolute gold ⚱ Super clear and comprehensive!

[@VictorCatalinTorac]

Your ability to break complex things into simple ones is second to none.

[@LukeshPatil-ch8rt]

Langchain being relatively new, there are not as many quality youtube videos, at least that's what I thought... but I was wrong! This is the most amazing in depth video I've seen so far. Thank you sir, I absolutely loved your work. ❤

[@pratikkumar939]

This is some serious quality tutorial. I have been working on this stack for 1 year now still you made me learn a thing or two. Amazing....

[@wahwahwally1]

Great video! I just can't comprehend how others can have such a long video and not explain concepts and ideas in the way that you do in 5 minutes. xD ty!

[@bx1314]

It takes time and you have make sure you know it but WOW this is the best class so far by a large margin!

[@IdPreferNot1]

Such a great video explaining LangChain in detail. This should get all the likes! LangGraph please!

[@alex_df]

This is one of the best tutorials I've ever seen! Learned so much so quickly thanks to your impeccable organization of ideas at a fast but yet comprehensible pace. Thank you! When LangGraph? 😂

[@bhancock_ai]

It's on the roadmap! Just need more time! But thanks Alex! Really appreciate it 😁

[@doungheanime]

thanks a lot for you help bro . This video was really useful i had got stuck the whole time with outdated langchain . I watched many videos and learn't only outdated half stuff but all thanks to you i have learned langchain completely

[@bhancock_ai]

Thanks man! It’s funny because I think all of us are getting stuck in their docs! This tutorial was born out of frustration 😂 Once you get everything working, LangChain is pretty great!

[@Productivity-s6s]

Bro I would literally pay for this information! You r directly on point. I have no idea, how did i find this treasure.

[@unknown.ethereum]

This channels definitely deserves more! Kudos to you Brandon! Thanks for all your hard work.

[@gabrielrenno8927]

This is the best Langchain tutorial ever created

[@ophelia6207]

Hands down the best LangChain tutorial I've watched. Thanks a lot, Brandon!

[@rickhoro]

AI tutorial for the rest of us. You make it all so simple. Great work!

[@harikrishnanb7273]

after 46 mins into videos. amazing man ❤️‍🔥. i really needed this. this is the best resource to learn langchain i came across. full review after finishing the video!!

[@harikrishnanb7273]

oh i forgot. Thanks man really thanks 🙏

[@SDAravind]

This is much better than official documentation. Loved it. Thank you for the video

[@dataninjuh2135]

Yeah no 2x is crazy ! 1.5x is the money spot, didn’t even try 1.75 ! Looking forward learning this collection of well gathered information. 👍

[@shintanishino720]

Thanks for creating this master class! This is suppppppper coool!!!!!

[@0limjon]

This is a great tutorial. I have been searching langchain courses for a while, and this is the best of for now. Thank you for your effort, it was very helpful.

[@gznqtl]

Hello, Great Tutorial! Thank you for the excellent content. Just a quick note: as of December 2024, some libraries mentioned in the course are outdated. For example, I encountered warnings related to Chroma. It's truly impressive how fast AI development is progressing! An update to LangChain v0.3 would make this tutorial even more relevant. Greetings from Mexico! 🎉

[@jaisharma2887]

Best tutorial about langchain not only on yt but on the entire internet. You are a god bro ❤. Please make more such tutorials on langgraph and langsmith

[@CortezLabs]

This was an amazing presentation. Thank you

[@bradH2049]

This is such a great tutorial. I've learned a ton! Thank you so much for this amazing course.

[@biddlea76]

At 59:00 in under the hood, this way of writing feels more intuitive to me: `invoke_format = RunnableLambda(lambda x: prompt_template.invoke(x)) invoke_model = RunnableLambda(lambda x: model.invoke(x)) parser_output = RunnableLambda(lambda x: StrOutputParser().invoke(x)) chain = RunnableSequence(invoke_format, invoke_model, parser_output)`

[@Mewgu_studio]

Thanks for your tutorial! just finished the entire video. The course is very well structured, and instruction is very clear.

[@jjolla6391]

would like to see a version that uses only open-source components, that can be run locally - at the very least provide some pointers to these alternatives

[@farnoushnazary7295]

This is the best tutorial for langchain. Well done!

[@kelvinndeti5482]

Thank you for this. You are an amazing person. High quality style of education.

[@toddrothman2765]

this is a great tutorial. Thank you! Can you please advise what tool do you use to draw your diagrams in real time in the video? for example at minute 49:00 you demo chaining concepts

[@prerithsagar5694]

you deserve more subscribers Brandon. "A" class content. Can u do a tutorial on fine-tuning pre trained models and also about GraphRAG? Thank you in advance

[@kavindu]

Very well organized and presented tutorial. Well done, we need more people like you.

[@gulraeezgulshan]

I must say this 3 hour contentful course is far better than 25 hours of paid course.

[@Anveshana-]

Hi Bradon, I am happy to your explanation. I am unable to understand from 02:14 to 02:22, can you please explain me as graphical manner, that will help us to understand.

[@mahdiansari7047]

Very helpful video. Thank you so much for the content. I really appreciate what you have done in this video.

[@DanielOliveira-vh4ye]

This is the best free video that I've ever seen about genAI

[@GilluanFormiga]

The best LangChain video.

[@Enkumnu]

Thank you very much for this masterclass ! Helpfull I used ollama with model = Ollama(model="phi3", ...) to do your code. Works perfect. Thank you !

[@TheYoungSoul]

Were you able to get through the agent section using the Ollama phi3 model? Thanks

[@arslanahmed1311]

Your teaching style is really great

[@SDAravind]

Hi Brandon, A video on How to use openai assistants for RAG application with memory instead of using langchain would simplify a lot of things.

[@Ray-qg2hy]

Brandon, your tutorial is the best one I've come through in KZbin about langchain. Thorough and easy to understand and follow! Both concepts and coding logic well explained! You deserve more subscriptions!

[@bhancock_ai]

Thank you ray! I wish the KZbin gods would send more subscribers my way too 😂

[@IBRAHIMEZZAT]

Thanks! It's a great tutorial that explains a lot, and I'm really glad.

[@rorymacdonald2058]

Loved that you recommended watching first on double speed - was actually doing that by the time you said it :-)

[@bec_Divyansh]

This is the greatest tutorial I have ever seen! Thank you so much!

[@SachinSasidharan-d3u]

Thank you Brandon.. Very useful tutorial for a beginner to start on LangChain. Really recommend this video

[@rorycawley]

This really is a wonderful, a huge ton of great work - well done, very high quality!

[@iampuco445]

Hey Brandon, I played around with Langchain with different learning sources for about two month. But this course gave me more insight than all others together. Very well structured, amazing didactic skills and super performance. Only the wiki example … I would have recorded it once again as it doesn’t match the accuracy of the rest (and yes: I understand that you wanted it to be done and out 😂) Thank you very much. Also for posting it here for free. 🖖

[@joshuauzoagulu5923]

This is the best course I've seen on AI! Thank you

[@vamshi-rvk]

Loved the tutorial, thank you. What's the tool that you have used to illustrate the block diagrams? It looks amazing..

[@2backpackers678]

Thanks Brandon for this amazing tutorial. Your tutorial has truly helped me to set strong foundation for my Gen-ai learning path!!

[@SaddamBinSyed]

A very well done and This is simply Awesome explanation.. Eager to watch your explanation on different topics.

[@Chevignay]

the best chatbot tutorial i've seen by miles..

[@bkentffichter]

This is great. And I appreciate learning about poetry. But for beginners, they need to learn what’s going on with environments so running through the standard way would be helpful

[@NabiehSalim]

Keep it going, you are really AMAZING!

[@evandroreisunreal]

Great tutorial. 🎉 I am curious to learn which app you use to do the drawings and the whiteboard. Could use those in my classes too. Thanks.

[@tanvirahmed1959]

the consequence of the video is awesome.

[@bhancock_ai]

I love that 😂😂

[@arunvasisht6181]

I am not clear at 1:01:47 How did you get to print the output of the uppercase_output? It was further chained to count_words. The output that got printed should be just word count. I am confused.

[@tysonbenson]

Thank you so much, Brandon! So excited to jump into this!!!

[@bhancock_ai]

Thanks Tyson!! It’s a long master class so make sure to grab yourself a few cups of coffee 😅

[@harishravi9936]

I think @2:31:25, the flow should be thought -> action -> observation

[@prathameshdinkar2966]

Thanks for the awesome video and material! I have some doubts, at 57:08, as "promt_template" and "model" are already runnable, so why we again convert them into runnable using "RunnableLambda"?

[@Pradipto-Bose]

Hi Brandon, thank you for this great tutorial. I have gone through each word and hands on. Looks like Tool Decorator explanation is missing. Could you please check once?

[@YasinAdam-b5e]

thank you, the way you are explaining these concepts is very easy to follow

[@free_thinker4958]

You're the man ❤️👏 we're looking forward to see some similar content on knowledge graph in langchain (neo4j etc...)

[@andydataguy]

Yesss! 🙌🏾

[@skumarinindia]

Wonderful master class

[@DimosthenisSotiriou]

Brandon, you're the absolute best

[@warangal9999]

Super informative and very well explained, great job Brandon 👏

[@shrivatsavans1209]

This was amazing! thank you so much for making this free

[@xyz-r7q]

Brandon, can you explain a bit how we can store the data as "Long term memory" so when we hit the limit of history length we avoiding token limits, or do you have a cool solution for it ?

[@shabarinathk8954]

the best tutorial out there..thanks

[@Skandawin78]

Super cool Video Brandon.. excellent content and nice pacing. Thank you so much 🙏 Just completed the Chat Models section. excited to continue with the rest of the sections. For me Gemini model API works and they are quite generous with their Free Tier plan compared to OpenAI

[@mushinart]

Cool work , for the part of the prompttemplate final example where it doesn't work, tey to use the .format() that comes with it... hopefully it will work

[@jamesmiths72]

Thank you very much for sharing your knowledge and this tutorial. Btw version 03 is out. Can we apply to that version what you teach in this tutorial? . Thanks.

[@ansenhuang]

One of the best tutorials I’ve seen🎉

[@nadavkedem4649]

Doing a great job. Thanks!

[@devloper_hs]

Why all projects use OpenAI, they removed the free credits and students don't have money to invest to learn. So kindly make use of some open source model also.

[@Dis-Trackted]

That is a bit lazy. You can easily find out how to change the model and embedding provider in the official documentation and everything else applies. He explained how to switch to Anthropic, and its totally analogous. PS: Im not even a programmer. I am a self-taught and my background is in medicine, so I don't think I have any comparative advantage.

[@henryguy3722]

I think it just too easy to use open air and it works.. ideally the youtube community ahould make an effort to give altenrative options so they can build something cheaper.. for end users. I cant imagine building and app with open Ai inference it would be so expensive for my customers.. it just bad proposition..

[@ibikunleadekiitan9882]

Use groq it will work faster than openai bcoz it's LPU I use it to build AI medical chatbot and its totally free

[@davidcooks2379]

Llama is also free

[@sayedhamdi8527]

This tutorial is much needed. Please create one using open-source models with llama3 and Ollama or vLLM.

[@wahwahwally1]

I believe he has a video on that already.

[@geeekfa3278]

Amazing tutorial! Thank you Brandon.

[@jonathankewe9415]

Hey Brendan, great tutorial. Thanks for sharing....Many Blessings...❤

[@gustavonaves6947]

Thanks! This video helped me a lot!

[@hendoitechnologies]

post full video about Claude 3.5 sonnet model and Claude API - full course video

[@MrLyonliang]

really easy to understand and follow along step by step, thanks a lot

[@Enventif]

Such a great video regarding langchain, best on youtube definitely. Perfectly explained for beginners. But I have another question. If I have two PDFs: one is from customer and contains rules for writing texts (e.g. forbidden words, structure of chapters, a.s.o.) and the other PDF is a document I want to check for the given rules. What would be the way to do this with Langchain / RAG? Means I don't want to chat with the "Rules"-PDF by asking questions but want the whole Text PDF to be checked for conformity to the rules PDF and as result a list of "faults"