LangFlow: Create AI Agents/Apps With a Drag-and-Drop UI - Opensource!

today we're going to go back in time and check out an old tool that is fully open source and it's a great way to graphically create and deploy AI applications introducing langlow langlow is a very similar tool to flow wise for example as it's a drag and drop UI to build iterate and deploy AI applications one of its greatest aspects of L flow is that it can automate workflows for you for example you can automate the process of fine-tuning large language model easily with Lang flow now in this particular example you can adjust your own CSV file or any sort of document file and f- tune that large language model based off the context that is provided so we can see that there is a note that is given fine-tune a GPT model with the loaded training data data must be in Json elf format or CSV format and this is provided to the large language model which will then fine-tune it based off the context we provided just a short and important announcement we're going to be giving away Nexus gbt subscriptions for the full year for 12 months you won't need to pay $19.99 every single month you're going to be able to access it completely for free if you are an AI Mystic as in if you are a patreon for this Channel and if you aren't you have till April 30th to access this so I'll leave a link to this in the description below this is truly worth it as this is a great tool that will allow you to create AI assistance you can basically create them quite easily and these are intricate agents that will allow you to do various things as well as automating workflows so definitely take a look at this link in the description below you have till April 38 to gain access to the patreon to access Nexus GPT for the full year now take a look at this example where you're going to be able to utilize a rag and this is through langlow so you can see that vecta is now being integrated into Lang flow's ecosystem which will allow you to plug and play the vector store component and lets you check out their intuitive storage and retri system so you can basically upload PDFs like we saw previously where you can upload large context and you're going to be able to have L flow con connect all the components so that you can have this retrieval system where it's going to be able to provide you relevant information back from the context that you had provided it so once you have connected the apis as well as the flows you can then go to the chat component where you can even ask it certain things and it will be able to provide you relevant information again so this example we can see that it's going to type in when is it best to use the max log likelihood as a loss function and then it provides you the exact step-by-step procedure that is needed to answer that question based off the context that we had provided and that's through this rag system and that's just the top of the iceberg there's so much more that's associated with Lang flow I know this is an old tool but it's open source and not a lot of people know about it or know how to utilize it so throughout today's video I'm going to be showcasing how you you can get started how you can install it and so much more so with that thought guys let's get right into the video hey what is up guys welcome back to another YouTube video at the world of AI in today's video we're going to be taking a look at langlow now I just found out that they have been recently acquired by data Stacks which is pretty cool to see and this is a new company that has been building on top of Lang flow or Lang chain sorry as they have Integrations of their Library but this is basically this new framework that is allowing you to create and distribute autonomous agents into various workflows it makes the ability to create different AI development apps quite easily and more accessible now its core values lies in a Simplicity with this Dragon drop UI it's super easy to build and you can see that we've covered many other projects like flow wise Vector shift and many others where you can utilize this Dragon drop AI feature to create various sorts of of apps as well as tools that can automate various workflows now some key features of Lang flow include that they have a dynamic input using curly brackets you're able to enable easy customization and you can even fine-tune certain things like language models and you able to do this autonomously with the node functions now if we scroll down a little bit I know it's an easy UI but one of the cool things I want to talk about is the Integrations you can see that Lang flow is a no code AI ecosystem they integrate seamlessly with all of these other tools so meaning that you can automate workflows with Google for example with meta notion word your CSV files and such forth it just makes things so much easier and we can see that this is a great tool that will help you in various aspects so let's get started it's actually fairly easy to install this what you will need to do is have the prerequisites fulfilled so you'll need to require to have Pip to install this as well as python 3.10 or above installed on your system so what you can do is copy this command go into your command prop install this this is to install the pre-release version or you can install the stable version once you have installed all the requirements it'll take a couple minutes you can then start it up using this command either this one or this one but for the case of this video we're actually going to be taking a look at the hugging face spaces for Lang flow which is a preview as to how you can get started with this we're just going to basically go and showcase the capabilities on Spaces you can actually clone the spaces using this link so that you can access it on the cloud and I do believe that they're going to be releasing their own cloud version as like probably in the next couple of months and this is to basically access it quite easily so you can join their weight list so that you can access it but for this case we're going to be taking a look at the hugging face spaces so once you are over here you can see that there's two categories there's my collection as well as the store the store is the Lang flow store where you can explore Community shared flows as well as components so people have already created various things such as a website content Q&A so you can ask questions about the text and links that are given to the chat bot you have a small document Q&A a whisper transcriber you have an HTTP requester you have a basic rag system web Scrapper and such forth so you can see that there's various Community Driven gpts that have been created you can search through different categories such as agent memory chain and Vector store or even prompt but in this case we're going to go to the my collection and check out other flows where you can actually take a look at so this is a vector store rag where you can visit the pre-released L flow uh like website guide Doc and it will basically showcase the guide for this project and how you can get started so what we're going to do we're just going to basically start off with the basic Vector store rag so we can edit either one of these two flows we can just simply click edit flow and you can see that this is the drag and drop UI that you can work along with so it's quite intricate as how they built this system but this is a rag system where you can retrieve various contacts now if you want to input various nodes you can start off by inputting an input node where you can have three various components a chat input a prompt input or even a text input you have various outputs where you can close the chat you can add a vector storage so you can add various API requests a directory a file or even a URL you can select various models whether that's open source or even Clos Source models like Amazon Bedrock which is something cool and new to see you have an helper which will assist you in various cases a vector store you have a vector search as well as embeddings if you would like to book a one-on-one with me where you can access my Consulting Services where I can help you grow your business or basically give you a lot of different types of solutions with AI definitely take a look at the calendar Link in the description below just take a look at this demo which is a small little example which will ask like or act as Hulk Hogan which is the prompt that was given and this is the prompt template we can see over here if you are to open it up answer the user as if you're Hulk Hogan and it's something that you can actually test out to see if it works and you can see that it will start off with the ru cool input and then the aab will respond as Hulk Hogan which is pretty cool to see and kind of funny but you can see that this is something that you can export as an API so that you can import it into other workflows and you can even share this on GitHub as well hugging face so you can see that this is just a basis or like a really cool simple drag and drop UI to help you build various sorts of AI apps and that's about it for today's video on Lang flow this is definitely a great way for you to create AI agents that are autonomous and it can help you in various aspects so if you're interested I'll leave all the links as to what I used in today's video make sure you check out the patreon page if you want to access Nexus GPT this is a great way for you to get that subscription complet completely for the whole year make sure you check out our Twitter page where you can stay up to date with the latest AI news and lastly make sure you guys subscribe turn on notification Bell like this video and check out our previous videos so you can stay up to date with the latest AI news but with that thought guys thank you guys so much for watching have an amazing day spread positivity and I'll see you guys fairly shortly peace out fellas

Channel: WorldofAI

Views: 9,761

Keywords: langchain tutorial, large language models, flowise ai, langflow, dify ai, create ai agents, no code app builder, no code tools, generative ai, drag and drop ui, n8n, rivet.ai, rivet ai, rivet, create complex ai agents, ai agents, auto ai, autonomous ai agents, best autonomous ai agents, create complex ai agents for free, llm prompt graphs, visual programming, ai development, artificial intelligence, open-source ai, flowise, ai chatbot, drag and drop ui unity, langflow ai, gpt

Id: uZIQZTcdRQs

Length: 9min 20sec (560 seconds)

Published: Fri Apr 05 2024