LangChain Crash Course: Build a AutoGPT app in 25 minutes!

[@AkolytosCreations]

The pace of this video is perfect. You gave a pace that was fast enough to cover a lot of ground in a short period of time for the "watch through" understanding, but not so crazy that it is difficult to pause when you're trying to follow along with code. This was the first of your videos I watched, and it had me checking out some of your older stuff. Your older stuff definitely isn't to this same level, but it all seems like things where you've improved over time. I've subscribed, and I'm looking forward to future videos.

[@NicholasRenotte]

Thanks so much D. That's exactly what I was hoping to hear! I really started taking content continuous improvement seriously these last couple of months. Just feeling out what's working, this video has been one of my favourites I ever produced!

[@danielbryars1]

I second this. I too could pause the video, write the code and un-pause it easily. Really like the pace.

[@CodingWithLewis]

Seriously such an awesome video. I am glad you didn't stop when the timer did!

[@benjaminsmith2614]

Some constructive feedback: would love to see an example of the app in action before you dive into building the code for it. Video jumps straight to code before we really know what for. That being said, the setting a 15 minute timer and then speaking quickly to respect time is a phenomenal touch (something I’ve never seen done before). Well done man, thanks for the video

[@marklittlewood2418]

This is very good advice

[@anon100x]

This is true for almost all tutorials like this. I dont know why they dont spend a couple of minutes showing what the end product will be.

[@NicholasRenotte]

Solid feedback, seriously appreciate it. I’ve brought it into some of my more recent vids!

[@uditranasaria3760]

I'd love to see a video on indexes! I think thats a very powerful tool for integrating LLMs into an existing data-based application

[@NicholasRenotte]

On the way soon!!

[@ThomasTomiczek]

Not sure about that - indexes need to index the data, any data based application will outdo that faster than you can realize. THAT SAID: ChatGPT-4 is able to use tools and such a tool can be an API to access a database. I had a nice discussion with ChatGPT about OData - can fully use it. So, use the indices for i.e. the employer handbook and the documentation where to find stuff, then use tools to access this stuff. No need to load all the data in to the ai, particularly data that changes frequently (i.e. orders in an online shop), stick to the regulations the AI needs to know that are static (i.e. goods return policy).

[@helloadhaL]

bhai khuud bna yyar mujhai ek hindi mai ayesa channel chahiye

[@BruceOnder]

​@@ThomasTomiczek awesome insight here. Thanks! 🙏🏾🏆🔥

[@AI-LLM]

Yes index extension of this project would be great and using functions. Many thanks

[@codedface]

@nicholas it’s been over 12 years since I’ve coded. I never coded in Python but this video inspired me to get back in and I was able to build your tutorial from scratch! Thank you! 👏🏾

[@dylan_curious]

That was really interesting to see how to put the pieces together. Your vid gave me a deeper appreciation for how they come together and what they're capable of. Thank you!

[@NicholasRenotte]

Thanks so much @Curious Future! I really wanted to show how to stack all the stuff together and actually show how it use it/make the most of it. Hope that came across!!

[@jobtrappeur]

I'd love to see a video on indexes

[@NightSpyderTech]

Amazing video and love that you provided the code. This is the furthest I've gotten beyond standard ChatGPT capabilities and since it's mostly one script done in Python instead of Google Collab or Jupter, even better for my local use case. Instant Subscribe and can't wait to see what else you do with LLMs and Langchain.

[@NicholasRenotte]

Glad you enjoyed it @NightSpyder! Plenty more to come, I'm writing up scripts for langchain every morning atm!

[@IronMechanic7110]

​@@NicholasRenottehow to install faiss in python ??

[@AncientAmulet]

Juypyter is python script too noob! Jupyter is an IDE not a language. Python is a language not an IDE. You need a UI or IDE or command line to do python. Even if it is only notepad. Notice the dude isnt running the scripts to show they work in his IDE? why? Because it dont work properly

[@Dr_Tripper]

I have been fighting for weeks just for a simple script like this as my entry point to this tech. Now I can move past this obstacle and onto greater days! Thanks. I learned some coding about 30 years ago so I am learning everything as new again. Happy days!

[@NicholasRenotte]

Thanks for the love on the video guys!! Let me know if you have any feedback. Really working on improving the video quality! 🙏

[@udoigogoi6126]

Nic is one of the best youtube tutors out there. i really enjoyed the video just as I like his other videos. It's always remarkable that he teaches such topics with such great ease and understandability, which speak volumes about his skills and knowledge on the subject matter. Thnx Nic

[@siddharthpatel2193]

This is super cool. Recently I read entire documentation of LangChain and I can say you literally covered important things in good details.

[@99NOFX]

I spent a few hours with you this morning writing my first script. Your script, though I didn't realize you'd be chopping and changing stuff everywhere. I got it in the end and learned lots. Cheers mate

[@FCrobot]

Thank you very much for your sharing, it has given me a lot of inspiration. I am currently preparing a programming assistant for a software. I have prepared 10 sample programs and stored them in a JSON file. I hope that users can ask questions using the chatbot and get relevant responses. However, I am facing several issues at the moment: 1. I am struggling with how to upload the JSON file to Vetor Store. Currently, my approach is to convert the JSON into a CSV file, but this method is not yielding satisfactory results compared to directly uploading the JSON file using relevanceai. 2. In my own setup, I am using openai's GPT3.5 along with Pinecone and openai embedding. These configurations are similar to relevanceai except for Pinecone. Should I consider switching to another vector store?

[@inteligenciamilgrau]

Thankkkkssssss !! I was looking that tool inside a lot of LLM github projects but not understanding exactly doing what!! Everything makes sense now!!

[@arturtomasz575]

Great video - as usual! It is mind blowing how python libraries are so powerful - that we can do so amazing POC applications in about 30mins where it would take week of teams work couple years ago... not even talking about NLP part... Thanks for sharing and motivating me to try it out for some weekend projects!

[@NicholasRenotte]

Kinda crazy right?! Insane what's possible now!

[@alibuttarR6]

Amazing Video as usual man, really loved to see this and understand how you can do amazing stuff with LangChain. However, the title is a little misleading as I thought it would actually be related to the AutoGPT repo and using langchain with that. Would love to see more though on langchain, especially indexes

[@NicholasRenotte]

Ah my bad, what AutoGPT does is the same in architecture as what is shown in the vid. That being said when I’m back at my desk I’ll prep a vid that shows the comparisons and how they can work together! Index code is done, just gotta get back home to make the vid!

[@alibuttarR6]

Thanks for explanation. Looking forward to it

[@TF-qt3jh]

❤Hey, Nick. Definitely, one of the best tutorials of LangChain! Better than some paid courses! 🎉 Thank you 🙏 As I’m not so versed in Python, I slowed it down to 0.75 speed😂

[@plagiats]

I think this is my favorite tutorial on all KZbin. Superb work! Thank you!!

[@dooezgo]

We got issue about information security and can't use openAI service. Can you advise some open source models to replace OpenAI but have acceptable accuracy? We tried LLaMA, Vicuna, Koala but they are not good enough

[@piyushashah1]

@12:22 in the script_template we define the input prompt as title. This title is the output of the title_template. But, I don't see this being defined. I mean, we haven't explicity said that the output of script_template is title. So then, how does the script_template figure that out?

[@shawn.builds]

im a complete beginner with langchain and this was the perfect intro! please keep it coming! 🔥

[@stevedave1788]

More video about langchain. You have explained the best out of everyone on KZbin, cheers mate

[@NicholasRenotte]

Plenty on the way @Steve!!

[@___gh0st___]

I'm a absolute noob in coding but you really bring light in the darkness of this world, I just join your course, thank you so much bro!!

[@PJ-hi1gz]

Beautiful, thanks! Can you do a video on CGPT connection to outside applications, like vscode, word, excel, etc? Similar to what AutoGPT is doing

[@Glow0110]

Just found your channel. Epic content brother. Thanks for taking the time to share! Can you show how us how we would actually upload something like this to a website (as opposed to being on your localhost)?

[@chrisweeks8789]

Love your teaching style! I think a quick recap at the end, going through what everything does would be beneficial.

[@Sir.Black.]

What about using GPT-3/4 to give you a response based on your own previous multiple responses (database) without hallucinations from just fine-tuning, and maybe even ask some questions if needed (and reply in a conversational way)... For example, User input: Hey Man, I need your help: Which route do I take to go to the bank? Context answer 1: If you're on foot take x route, A2: Take route Y by car, Chatbot reply: Things are good! How are you planning to go there, on foot or driving, John? and so on... Do you have a video on how to do this? Is it even possible?

[@easypeasy2938]

Hi. Enjoying your presentation style but a bit over my head at this point. Couple questions. Can you recommend a learning path to get to here from a decent understanding of basic Python? 2. I would like to develop an AutoGPT (agent?) that can generate a spreadsheet with the contact information for every dementia care facility in Canada. How would you go about doing that? I'm envisioning an autoGPT agent that scrapes Google results for each zip code in Canada. Anyway, anything that can get me moving in the right direction would be great. Thanks.

[@PaulBenthamcom]

Fantastic presentation, so pleased with how you spelled it out for me. I've been scratching my head a little bit with Langchain these past couple of weeks!

[@NicholasRenotte]

I was in the same boat @Paul, tried to break it down as well as I could for people that wanted to build with it!

[@alexkelly757]

ditto, i thought i was being a little bit stupid but im glad other find it hard too, gives me a bit of confidence to continue.

[@PaulBenthamcom]

@@NicholasRenotte Nicholas, what's your thoughts on system messages? Is it worthwhile using this or just putting your message direct in the prompt template?

[@DonVittoriojp]

I want to build a ChatGPT style bot that I can feed all of my company documents. So I can then ask questions if I need to find quick answers to things. How can I do that?

[@dlrmfemilianolako8]

Hi Nicholas ! Can you make a video about application of deep learning on medicine ( like how to create a cure for diseases etc ) Thanks 😊

[@danielececca4096]

Can you do a video on GPT index and the difference with LangChain?Or how to integrate the two frameworks.

[@ulfurk]

You prompted the script chain with the prompt again rather than the output from the title chain. Very interesting stuff, thanks for the information.

[@matthew91fuller]

Thank you for the step by step tutorial, as someone who is learning to code this is a highly valuable resource. Please create more content like this relating to AI.

[@yashgb]

Hi Nicholas, this was great 😃 I am looking forward to eleminate OpenAI dependency and use llamacpp bindings for local. There are few documentation errors of langchain otherwise I am almost there.

[@NicholasRenotte]

Going to make a vid of how to do it from my hotel room when I land for ya!! It’ll prob be a little shorter but it should set you up to do it!

[@yashgb]

@@NicholasRenotte yup 😃

[@spencergarth5787]

Keen on this video too 👍

[@audacious2]

Great video! I just discovered your channel! Please continue more work like this, because you're approach is very easy to follow and extremely concise!

[@NicholasRenotte]

You got it John, plenty more to come!

[@DJPapzin]

Not sure if you are aware, the "Get the Code" link takes me to a different project about LipNet but i manage to find the right repository in your account.

[@SushilKumar-yb5ou]

Hi Nicholas, I am restarting my development journey after a decade.. Your videos are really inspirational and easy to follow, thanks for this. I had one query, how do I import the langchain documentation in VSCODE so that it auto completes python imports and code?

[@sampadk04]

Wonderful Tutorial! Clear and concise. Gg as always Nick 🤞. Waiting for more LLM content.

[@NicholasRenotte]

🙏🏽 thanks so much, plenty more inbound!

[@trojan6897]

Waiting for video on indexes , superb video buddy keep bringing awesome content like this and if possible just take your time and don't rush on topics so that more people can understand well, rest upto you :-)

[@marvinckr694]

Hey, would it also be possibel to adjust the prompt to something like "create a youtube title and a fitting sctript for {input}" instead of using a sequential chain? If yes why would you still use a sequential chain, is it cheaper or more efficient or whats the point? Thanks in advance.

[@superlbc]

Awesome content. Definitelly interested on the indexing.

[@NicholasRenotte]

Thanks a mil, you got it, starting planning on it now!

[@bunnywaj]

Do you have any course module for freshers, who wanna be a data scientist/ analyst . I really like your modules and wanted to shift my domain from a senior product designer to a data analyst

[@huuthien]

Thank you for the really amazing video. I would love to see a video about indexes in LangChain too! It must be a very powerful tool right now.

[@NicholasRenotte]

You got it!

[@pat2715]

do you need to buy credits with openai for this? I'm just a student trying to make a small project, and I'm getting rate limit errors?

[@nexdownfallrs]

Ive watched many of your videos now and i gotta say you are a great teacher and im so glad you do these videos :) big thank you and greetings from germany! I Learned so much valuable Information i cant thank you enough :))))

[@HBaker40]

Just found your videos, finding them so beneficial, I’ve subbed my friend, looking forward to diving into your content

[@gazorbpazorbian]

finally I see a video about langchain straight to the point!

[@NicholasRenotte]

YESSS, stoked you enjoyed it! Wanted to make it as practical as possible, went a little longer than I wanted but 🤷🏽‍♂️

[@gazorbpazorbian]

@@NicholasRenotte It was really great! don't mind how long it would be as long as is well explained

[@dnldnl4880]

Not sure if the pace or how well you discuss the why of things but i finally get it as a non dev person

[@powerball200]

which language and skills should i have first before learning langchain?

[@ziiiiiiiiiii7325]

Hi nicholas. What data science book (or Text Book) would you recommend to read? To learn more and to land a job.

[@NicholasRenotte]

Hands on ML by Aurelie Geron is my go-to!

[@ziiiiiiiiiii7325]

@@NicholasRenotte Thank you!

[@____2080_____]

LangChain Index!!!! (Please!)

[@NicholasRenotte]

You got it!!! On the way.

[@nagrajankola1323]

@@NicholasRenotte waitinggg

[@Bigghead09]

Great video I followed step by step and it was really helpful in understanding how to develop with Langchain. Did you do a video about indexes?

[@webskillz]

Great video, langchain appears to be the solution to a LOT of the issues I'm currently facing. I definitely want to see a video with the indexes!

[@NicholasRenotte]

You got it @KJ! Thanks for checking out the vid!

[@everett8435]

You are awesome. Thank you. Love the little cuts and analogies. Well done mate.

[@NicholasRenotte]

Stoked you enjoyed it @Everett. Tried to visually explain a little more than usual, hopefully that came through!

[@everett8435]

@@NicholasRenotte 1000%

[@cliffanthony1]

Fantastic video. If you decide to do a follow on video, I'd like to see the next step being using vector databases/stores and creating a ChatGPT web app that can answer questions from a collection of PDF or Microsoft Word or HTML documents. i.e. Summarize documents , rewrite documents, or answer questions based on the contents of documents.

[@anuragannu8930]

This is one of the best videos to understand Langchain, It was perfect for me, thanks.

[@spencergarth5787]

Dope video! Thanks for keeping it quick and spicy, I learned heaps mate I'm curious about indexes but not sure the value add? I'm excited to build an app to simplify nutrition tracking using cronometer. It's a pain to type everything in all the time and figure out measurements. I'd love the leverage this to do that for me

[@NicholasRenotte]

Ayyyyy Spenny! Indexes allow you to add your own data to the LLM chain. You could bring in your own chronometer measurements into the pipeline for example if you had them stored in word or CSV.

[@johnm-s480]

Do you think it would be worth starting a project to create an GPT 4 API trading bot which utilizes social media, indicators and news to automatically trade?

[@GyroO7]

Wow your teaching skills are amazing

[@NicholasRenotte]

Thanks a mil @MehDii!

[@shrimppop]

This is great, still trying to understand embeddings and indexes, so yes, please do a video on them!

[@thecoffeejesus]

This is really incredible. Amazing work. Super simple to follow along with! I’m going to do this tutorial after work

[@NicholasRenotte]

Awesome, let me know how you go with it Christopher! Thanks for checking it out 🙏

[@AlexandraZhitkevich]

Hey Nick! Thanks so much for the video. Do you have any good resources for figuring out how to add my own data into the mix along with openai that it would go through (how to do that) and how I would set up a vector database to handle that data too? Would really appreciate it!!

[@NicholasRenotte]

Hey Alexandra, check out the investment banker video I did right after this one. I cover how to do it!

[@ChaitraKamath-w2n]

Just amazing!! Loved this video. Quick question - how would you change the code if say the prompts are in a file? Instead of having to write a prompt every time, I would like to add the prompts to a file, have the app read the prompts from the file and run in the background. How can I reuse the code to do that? Again, thanks for the great video!

[@mdhidayat5706]

Damn, another video in my todo list. Awesome crash course guide!

[@NicholasRenotte]

YESS, let me know how you go with it @Md!

[@calmlife18]

I love the way you explain everything, Just the a question though is there a way to display full script, I have been going over this video for 2 days, the output is displayed on half, and some of them stopped in between a sentence. Is there any way to overcome this? Thanks for your help.

[@jillanisofttech2977]

Nice vedio Sir can you create a Full End to End Real world Problem based Langchain Application please.

[@goonie79]

Ideally, the ultimate tutorial is to fully use a hugging face LLM that is fully offline from OpenAI. Love this video, but that is going to be the game changer for AI that all the big players are probably freaking out about.

[@jonassteinberg3779]

why because everything hosted there is oss?

[@goonie79]

@@jonassteinberg3779 I was thinking more on the lines of creating tangible assets that boost productivity so that labor can capture it before fortune 500 try to siphon away wages to capture the productivity like they did in the 80s. If labor is thought as a commodity, and an offline LLM that you personally own guarantees results in productivity in your workflow, it would force employers to have to pay higher salaries for the output. That is if economic theory on ownership of assets holds true in the US and is not just ignored.

[@jonassteinberg3779]

@@goonie79 ah, okay. yes I get the sentiment. not sure what to say there. anything is possible!

[@nasirdaneshiar6131]

hi, Thank you for the tutorial, actually I have a question,As you know we see a lot of amazing results with large language models that big corporations create I want to know about your opinion about the future of AI engineers and needs of market for them, thank you

[@kashishrajput4934]

Please do make video on the indexes as well. Thank you so much for this video too.

[@NicholasRenotte]

All planned! Code is done just gotta record! Tysm for checking it out!

[@LifeImprove-tw8gf]

Before watching your video I was actually worried LangChain is a useless wrapper. Thanks to you I see it can be used as intended.

[@meatseo4535]

It's great video. Thank you for sharing. However , I have a question about "How to action when output isn't finished ?" It would be great ,if someone can help me on this.

[@bossysmaxx3327]

dude your face doesn't match voice at all, your video's cool man helped me create myself a game development helper

[@a123boyzone]

Amazing content. Just subscribed. Best wishes from New Delhi, India

[@ronakttawde]

Really great..surely need video on index

[@NicholasRenotte]

You got it @Ronak!!

[@21EC]

Is it possible to build a AutoGPT based on Alpaca model ? (so it would be 100% free without relying on OpenAI's service of ChatGPT4 and would run locally on the PC itself only)

[@chokosabe]

What was the machine spec this was running on? Many thanks for this vid.

[@giantsbane8439]

Curious about maintaining confidentiality though with the autogpt stuff. My main concern with using gpt for anything serious is leaving any potentially sensitive information while working on creative projects or research projects. I you could adopt this to work with more localized models, but most of us don't have machines capable of that even with these 3rd party llms.

[@BruceOnder]

Awesome crash course! Thanks so much!🙏🏾✌🏿🔥🏆

[@skytoin]

Thanks man great and practical video, nice job. Does llm transform wikipedia research somehow or it just pure text from wikipedia in the wikipedia section output?

[@rohitchan007]

Hey Nick, can you make a playlist of best practices for prompt engineering?

[@meta-intelligence]

Wow, this is amazing! Save tons of time and easy to understand. Well done Nicholas!

[@NicholasRenotte]

Glad you enjoyed it @Meta Intelligence!!

[@abhayjoshi2121]

Hi you never responded to the question on Your Full stack ML are you going to add Deep learning and other contents in this course ?

[@picklenickil]

Would love to see indexes. Possibly larger memories like a couple of philosophy books and semantic search. Associating some context to user input and answering some cool questions. SocratesGPT?

[@AlienDjinn]

Thanks for posting this video, was great and really liked how you iterated on concepts (from easy to more complex). I added this line and it seems to help with the script getting cut-off. llm = OpenAI(max_tokens=1024)

[@mustafaanas5991]

this guy is a legend. How did I not know about him earlier.

[@ThaiNeuralNerd]

Another great video 🙏 ! In a future video can you expand on showing how to incorporate other AI API services? You touched on this subject briefly in previous videos on how each AI system API can leverage on one each other to produce the best results. Seems like LangChain NeuralSeek would be perfect for this. Maybe a LC and NS combo vide?

[@slimaftermathshady]

I have no clue about programming but i learned quite a few things from this video so thank you very much!

[@VijayasarathyMuthu]

Awesome man. Please do Indexes as well

[@NicholasRenotte]

You got it!

[@Alkotas25]

Awesome! how can I publish it not just locally? is there any webservice you can suggest?

[@NicholasRenotte]

Check this out: docs.streamlit.io/streamlit-community-cloud/get-started/deploy-an-app

[@GiomPanot]

Hey Nicholas, super and clear I really like your videos, and easy to understand the logic behind them. Thank you so much!

[@CarlosEduardoOchoa]

Hi bro! This video is amazing! Could you create an indexes video to keep learning? Great Job!!!!

[@aliradwan6155]

two things, first how this channel not 1 mil sub yet , second what do you think of vicuna-13b??

[@HamnaZahid-h8n]

What exactly do I need to install? Visual studio or python compiler?

[@jamesfairfoul1265]

me? I thought it was very informative but I struggled to follow when you was using the visual editor, im going to DL it and try to follow along, im truly fascinated by all the AI developoments currently unfolding

[@wolf5393]

Can you put use all these things using react with a decent UI. It would be very helpful

[@catalyst3647]

Great work Nicolas, very clear explanation and easy to follow.

[@randymichak]

great video. I did have one question. In your video, the script seems to be cut off at end. I assume that this is because of a token limit of the model. Can you please explain.

[@jacob8134]

Amazing video! Thanks you so much Nicholas.

[@davieslacker]

is this actually using the AutoGPT code, or is this a different implementation of using an large language model in your coding ?