Leon, I want to thank you from the bottom of my heart. I have been playing on and off with GenAI with LangChain/OpenAI etc, but these 3 tutorials (#1, #2 and #3) were excellent and have clarified my rusty thought process and I am simply thankful to you the way you explained - not fast, not slow, very clear and interesting. I have subscribed and likes your video and will go thru the rest, earlier I thought I will go thru as many and then post my thanks note, but after tutorial #3 my happiness did not allow me to hold back. Thank you, very nice!!
@TomPooleMS3 ай бұрын
Leon - your videos are so informative and presented so they are easy to understand. I cannot thank you enough.
@leonvanzyl3 ай бұрын
You're welcome 🤗
@HyperUpscale4 ай бұрын
Finally! A great explanation how the vector store works in LangFlow 😅
@HyperUpscale4 ай бұрын
Mystery solved - after one year ...
@leonvanzyl4 ай бұрын
Thank you 😊
@HyperUpscale4 ай бұрын
@@leonvanzyl Actually, Thank you!
@nufhАй бұрын
So this is how RAG works! I always thought we just loaded the entire text into the context window. Thanks for explaining it so clearly; it really helped me understand!
@leonvanzylАй бұрын
You're welcome 🤗
@nicolaslemosribeiro80964 ай бұрын
Thank u man, u save my life! continue this serie i need very much
@leonvanzyl4 ай бұрын
Will do
@WayneBruton4 ай бұрын
Great series thus far Leon, I like the look and the fact its Python. I hope you go all the way with this series.
@leonvanzyl4 ай бұрын
Thanks man! Anything you would like me to cover?
@WayneBruton4 ай бұрын
@@leonvanzyl Agent Teams definately also, would love to know the strengths and weaknesses or a comparison between flowise and langflow. They both seem awesome. I guess ultimately it will be "horses for course" depending on your needs
@BismaMajeed-si1uf4 ай бұрын
your channel is a goldmine! thankyou @leon
@leonvanzyl4 ай бұрын
You're welcome 🤗
@jgz24 ай бұрын
Thanks Leon, again very helpful.
@myandrobox34274 ай бұрын
Another great video, thanks, Leon! Does Langflow support images as input and output generated images?
@AnujSaxenaMunich4 ай бұрын
A simple text based rag application is explained at various places but there is no explanation if we can create a multimodal RAG application with either Langflow or with Flowise. Is it possible to get an example showing the usage of images in both input as well as output?
@alessandro.depoli3 ай бұрын
Hi, I'm deciding which tool to learn to start my journey, but in the last few days, I've been switching between Flowise and Langflow with double effort. Checking also Vextorshift. I like a lot Langflow for the style and the fact that it is "already online" with the new v1. Which platform do you suggest to study and use? Thank you (thanks for all the videos!) Are you continuing the series on Langflow? And on Flowise & VectorShift?
@julienechavidre63894 ай бұрын
Thanks a lot Leon for your video series. It helps a lot. Is there a way to have a video to produce simple code files (like JSON), based on "code samples" (probably stored in a vector store)?
@4pass1154 ай бұрын
Sorry if the question seems simple, I'm not a programmer. After finishing the assistant/chat, how do I make it stay online. Do I need to store it on a server? Do you have a video showing this step? Even in flowise, you install it on the website, but if you don't access it from the computer where the "node" and flowise were installed, it gives an error.
@AKASHROY1003 ай бұрын
Is there any way to extract images from the knowledge base documents and retrieve them later in the output ?
@jonathanccalverАй бұрын
Hi Leon. Thanks for all your videos. I've watched a lot them. Sometimes you ask for project ideas that might be useful. I've got one for you. I'm looking to design a RAG that can chat with CSV data. I've gone through the normal process, as per pdf, docx files, but the results were not good. I suspect a different approach is required, right?
@leonvanzylАй бұрын
Thank you for the suggestion! Alright, I've added a CSV RAG chatbot to my backlog 😊👍
@abedmalak_4 ай бұрын
Why langflow? Flowisee is better, right?
@FacadeEngineering4 ай бұрын
Thanks. Can you also make video on html output of langflow? It is not working great like flowwise. Also how to make embedding on database trouth api and customizing components are great topics
@synergy-xl6mt4 ай бұрын
Compare Flowise what's advantage of Langflow
@bekakakachia1474 ай бұрын
Hello Leon, how can we control sessionid, when exporting flowise workflow via API, in Telegram bot, so it can have unique session id with each user id? Thanks in advance ❤
@bekonrexha4 ай бұрын
My vector search gives this error for some reason "ValueError: Error building Component Pinecone Search: Invalid inputs provided." any idea why?
@jankotyza81463 ай бұрын
Hi, The video is well-made, but I'm having trouble getting it to work with Chroma or Pinecone. It seems that Langflow has changed since the video was made. For starters, there is no "Vector search" menu as mentioned, only "Vector Stores." Additionally, both Chroma (now Chroma DB) and Pinecone have different connection points on the right side compared to the video. There are now Retriever, Search Results, and Vector Store connection points, none of which can be connected to the "context" variable on the Prompt node. As a result, I'm stuck halfway through. Perhaps the video is outdated and could use a revision? Thanks!
@leonvanzyl3 ай бұрын
Yeah, super frustrating for us creators when the platform changes just about everything with each release 😂.
@maniecronje3 ай бұрын
Apologies if I already ask this personal preference FW or LF? Do you know if LF have more features and control than FW? I have not use LF but would like To give it a go if it is better than FW in terms of features etc. would appreciate you own personal opinion thx 🙏
@leonvanzyl3 ай бұрын
I think Langflow has potential, but they're not as advanced as Flowise.
@doctordude57284 ай бұрын
I don't have a section called "core components" so I am missing "Inputs, Outputs, Data, Models.." actually everything except "Vector Stores" and "Embeddings". What I've got are only the components that you have under the section "Extended"! So how can I get all the other components that I need to create a RAG Chatbot? Can you explain that please?
@leonvanzyl4 ай бұрын
You need to install the pre release version of Langflow. Check out my Getting Started video for installation instructions 👍
@leonvanzyl4 ай бұрын
kzbin.info/www/bejne/jJPUl42gicSDgqc
@doctordude57284 ай бұрын
@@leonvanzyl thanx a lot!
@professions_4 ай бұрын
A question about Chroma please. Can I add different types of data files (pdf, doc, json) using the Chroma local storage option, or will it overwrite the data?
@leonvanzyl4 ай бұрын
Yes, you can add multiple files (and different file types). The content is ADDED to the vector store.
@TarabUTK4 ай бұрын
Where can I find the menu document download? Awesome video. Thanks
@leonvanzyl4 ай бұрын
Thank Mark! I'm not familiar with such a node. Are you trying to download the flow itself? Or something else?
@professions_4 ай бұрын
Hi Leon, aside from Deploying on Google Cloud Platform, is there another way to host Langflow online? I love your tutorials! Thank you
@leonvanzyl4 ай бұрын
I'll see if I can cover something other than GCP as well 👍
@cyberir4 ай бұрын
Maybe free oracle cloud
@josielgunner2 ай бұрын
These search components don't appear to me, were they removed?
@leonvanzyl2 ай бұрын
Are you on the latest version?
@josielgunner2 ай бұрын
@@leonvanzyl Yes, although I noticed You used a Parse Data component instead on Rag with Ollama video. So, I used this same component on this chat and worḱs.
@TarabUTK4 ай бұрын
Hello, is video #4 available for pro members?. I am not able to see. it says"1 unavailable video is hidden" Thanks.
@leonvanzyl4 ай бұрын
Hey there, not yet. Still working on video 4 and 5 which will both release early for you next week 😊