@@Alvaro-cs7zsWhy would you need see this? Would it not be better to actually try it for yourself? Its very veryyyy easy guys, its exactly the same process, but instead of here you see where he uses "Claude Chat Model Node"? Well stay with me we going deep and complex.... Instead of the Claude Chat Model node select the Groq Chat model Node, then select the model (Mixtral / Llama 3) from Gtoq node drop down! ... Done 😅!
Groq. Or Cohere that AFAI it was giving some problems. Also with Cohere re-ranking would be great. What I mean is that with the hard work you are doing, it would be great to have the perfect RAG stack build. And push Flowise to implement neo4j or similiar Graph databases would be awesome. Congrats Leon. 🦁
Knowing the speed of llama 3 on LM Studio (which is very similar to chat RTX) and the fact that LM can create a local server, more agents software should aim towards the direction of adding local LLMs
Thank you for this great tutorial. I learned a lot from watching all your videos. I was wondering if you would have another tutorial about creating multi-agent systems using flowise?
I didn’t use the Anthropic model extensively but I did find that Haiku was very potent and I personally didn’t find any limitations also I did not make a full comparison with questions and all…
Just a question - is it possible to setup up node "GPT Assistants" and then setup also custom function node on top of that, how would you connect those two nodes so it works. So basically, you leave the full chatbot to "Assistants" but attach different Tools to that - if that is even possible
What's the best approach to handle 500K+ rows of sales data in CSV format to be able to answer various data analysis questions? I watch all your videos, and all examples are about small Word documents
Hello Leon, Great video as always! I've created this tool agent using Gemini as the main model and provided three document loaders. However, sometimes the chatbot answers directly from its knowledge without using the tools. Are there any tips to optimize its behavior so it always prioritizes the documents? Thanks!
Great as always. Let's suppose you have a custom tool that transcribes an audio file. The resulting text is larger than 200k that Claude 3 can handle. Is there a way to shunk, embed, and vectorize that text, so a user can ask questions about it?
Hola Leon. Te felicito por los tutoriales y el canal en general. Me sale el siguiente error: "otput.match is not a function" cuando quiero probarlo. QUe podra ser? Muchas gracias
Can someone explain the reason for embedding vector stores? It just seems like a step that could be avoided altogether but isn’t. Why? Why are all these vector stores popping up to accept our data and documents? And is there a way to solve this with a local vector store? What an epic tutorial, thank you Leon
I actually have a few videos that explain the reason for using Vector Stores. ua-cam.com/video/V7uBy3VQJAc/v-deo.html In a nutshell, you shouldn't pass the entire knowledge base into the chat as context. Instead, you need to chunk the data and store the chunks somewhere (vector database). Only the most relevant chunks will be added to the context.
Great ❤, please upload Rag chatbot video using weaviate, llama3, where doing semantic search on database column of csv files/real database like supabase or others
Hi, thanks for this video, its really hard to find examples that are not with OpenAI. I'm trying to make an agent that loads PDF files but I almost always get errors when upserting. So I tried with some pdf books and manual i've found online but only one of them works, algo made my own pdf with just one page and it works. I've tried Qdrant, Pinecone, the in-memory. And it always work with the one i made, but never with the ones i downloaded. It can be problems with the file? or that i'm using free version or qdrant and pinecone, i always get this error: typeError: cannot read properties of undefined (Reading '0'), and I can't find anything online about it. Is there any error log for flowise (I'm runing it in hugginface).
Leon, can we implement dual retrieval systems-one from documents and another from SQL or structured table data-each utilizing distinct embedding models, with the chat automatically routing requests accordingly?
Hello, Thank you for your video. I would like to know if it is possible, instead of having the chatbot on an icon on my site, to have it on a page of my website. Could you tell me how can I do this? Thank you.
Hi León, possibilities open!! Thank you!!!! The dimensions value is mandatory for all vector stores? Everytime I See Pinecone I See reference to dimensiones, but for example I use chromadb and never was asked nor entered a dimensión value. Is this something Flowise takes care of, or it is just that chromadb does not need this value? Thank you!!!
That's actually a really good question. I don't know 😁. I noticed that the new Upstash Vector also does not require the dimensions, yet it works with all embedding models. Maybe someone in the comments know..
same like open ai anthropic ,"message":"Your credit balance is too low to access the Claude API. Please go to Plans & Billing to upgrade or purchase credits."}}
Friend, I'm trying to use the retriever tool, but unfortunately the Tool Agent can't "see" it. It completely ignores the Retriver Tool, even though it is completely configured. And what could it be? And what to do to agree? Thank you very much and congratulations for the content
@@leonvanzyl I got it, thank you very much. But I confess that it didn't turn out as well as I wanted, can I find something similar to real estate assistance with flowise on your channel?
Hello Leon . I have built a RAG application with flowise .I want to be able to upload a pdf or document and query it , just like chatgpt , or Germini they have the document upload button.Please how can i do that ?
Within Flowise, you will have to use a document loader. It's not possible at this time to upload docs on the chat window. If you're using the Flowise API, then you can load documents as well. Check out my video on using the Flowise API.
Hi! I followed the steps along with Leon, and when I try to test the flow with the calculator, I get an API key error: "Your credit balance is too low to access the Claude API. Please go to Plans & Billing to upgrade or purchase credits." I thought it was free. Has this happened to anyone else?
Really helpful thanks. One question, from my testing it seems you don't get streaming with this setup (there's a long delay then the answer arrives all at once) is that correct?
Leon, is Anthropic cheaper than openai? I didn't understand the Haiku model charges Input: $0.25 / MTok and Output: $1.25 / MTok and openai charges $0.50 / 1M tokens $1.50 / 1M tokens (3.5 turbo) but Anthropic is only 200 thousand tokens while openai is 1M tokens, right ? 4 times more than Anthropic. That's right? I'm looking for a cheaper alternative than openai.
Thanks Leon great content as always, I am missing the Tool Agent from the menu I assume I need to update Flowise, did you have a video explaining how to do the latest update of Flowise.I followed the instructions downloaded the script you have supplied on GitHub ( ua-cam.com/video/nqAK_L66sIQ/v-deo.html ) I am not sure why but I can not see the latest Tool Agent in my toolbar, my current version is 1.6.2 I noticed that the latest is 1.6.6 can you please explain how I may upgrade to the latest 🙏🙏? thx Manie
Thank You For Your Help. I have a question that Can I Create mutiple types of chatbots like customer support, ecommerce, healthcare, recruitment & many more. Can I integrate flowise chabots in multiple platforms like whatsapp, Instagram and many more. Please answer my question.
I’m just now discovering AI agents and to be honest AI in general. I have never coded before however I’ve had several brainchild applications built for myself and my business. I worked very closely with the developers prior to even starting the project. I left a very little to the imagination and determining, the entire workflow from section the section of the application so I feel that almost this is kind of doing the same thing in a graphical manner. I suppose my question is how difficult is it for someone like me to pick up this type of interface I was able to follow along pretty well on this video I suppose I would just need to know where to find references to all these tools and their functionalities. Would you all consider this a pretty basic video video? Does it get far more complicated than this?
Thanks so much for this helpful content, i have a question, I'm using supabase as my database, if you'll like, can you teach us on how to use it as the vector store
Great as always. I'd love to see this for Llama 3 and Mistral. I want to leverage more open source models.
I would love to see that with llama3 as well! It would be amazing a tutorial with Groq API o even in local
Same
@@Alvaro-cs7zsWhy would you need see this? Would it not be better to actually try it for yourself? Its very veryyyy easy guys, its exactly the same process, but instead of here you see where he uses "Claude Chat Model Node"? Well stay with me we going deep and complex.... Instead of the Claude Chat Model node select the Groq Chat model Node, then select the model (Mixtral / Llama 3) from Gtoq node drop down! ... Done 😅!
Hi Leon, tried the same as above with Groq instead of Anthropic and Mixtral... It works like a charm. Thanks again
That's an awesome model to use as well 👍
i 4ll be forever grateful for you , There's only Value Out here in this Channel!
Groq. Or Cohere that AFAI it was giving some problems. Also with Cohere re-ranking would be great. What I mean is that with the hard work you are doing, it would be great to have the perfect RAG stack build. And push Flowise to implement neo4j or similiar Graph databases would be awesome. Congrats Leon. 🦁
You asked for suggestions around AI models would love to see how to use AWS Bedrock, thanks Leon
Excellent suggestion
Thx for the great video Leon ❤ was waiting for this tutorial 😂
You're welcome 🤗
Hello and thx for the videos. What about llama 3 ? How to use it with Flowise ? Can we self host the model and integrate it with API to Flowise ?
Very good video! Cheers, from Brazil
Thank you! Howzit from South Africa 🦁
Thank you, once again!
Gorgeous, super useful!!
You're welcome 🤗
Flowise is absolutely great, i'm just missing a proper integration with LM studio
Knowing the speed of llama 3 on LM Studio (which is very similar to chat RTX) and the fact that LM can create a local server, more agents software should aim towards the direction of adding local LLMs
@@matteominellono exactly this! I agree!
thanks llam3 Everybody talks about it
Thank you for this great tutorial. I learned a lot from watching all your videos. I was wondering if you would have another tutorial about creating multi-agent systems using flowise?
Working on that video as we speak 😊
@@leonvanzyl Thank you so much! I literally can't wait to watch the video
Good one as usual..
I love your videos bra🙌 the only problem is that you don't use dark mode
🤣
I noticed the error of my ways and switched to dark mode in recent videos.
Thank you so much @Leon can you pls cover calling image api and document flow together
Hey friend, have you ever thought about making videos integrating chatbots with AI and N8N?
I have actually. Working on it 😜
blessedbrother
I didn’t use the Anthropic model extensively but I did find that Haiku was very potent and I personally didn’t find any limitations also I did not make a full comparison with questions and all…
Agreed. Haiku is incredible.
Does this work with any local model where you don't need an API key?
If the model supports function calling and you have the hardware, then yes ☺️
@@leonvanzyl And I assume there isn't currently such a free model
Just a question - is it possible to setup up node "GPT Assistants" and then setup also custom function node on top of that, how would you connect those two nodes so it works. So basically, you leave the full chatbot to "Assistants" but attach different Tools to that - if that is even possible
What's the best approach to handle 500K+ rows of sales data in CSV format to be able to answer various data analysis questions? I watch all your videos, and all examples are about small Word documents
There is a csv file tool where you can load data from csv.
Hello Leon,
Great video as always! I've created this tool agent using Gemini as the main model and provided three document loaders. However, sometimes the chatbot answers directly from its knowledge without using the tools. Are there any tips to optimize its behavior so it always prioritizes the documents?
Thanks!
Hey there, you can change the system prompt to instruct the model to use the tool.
Great as always.
Let's suppose you have a custom tool that transcribes an audio file. The resulting text is larger than 200k that Claude 3 can handle. Is there a way to shunk, embed, and vectorize that text, so a user can ask questions about it?
Hola Leon. Te felicito por los tutoriales y el canal en general. Me sale el siguiente error: "otput.match is not a function" cuando quiero probarlo. QUe podra ser? Muchas gracias
Can someone explain the reason for embedding vector stores? It just seems like a step that could be avoided altogether but isn’t. Why? Why are all these vector stores popping up to accept our data and documents? And is there a way to solve this with a local vector store?
What an epic tutorial, thank you Leon
I actually have a few videos that explain the reason for using Vector Stores.
ua-cam.com/video/V7uBy3VQJAc/v-deo.html
In a nutshell, you shouldn't pass the entire knowledge base into the chat as context. Instead, you need to chunk the data and store the chunks somewhere (vector database).
Only the most relevant chunks will be added to the context.
Hi
In the Voyage AI Embeddings how can I choose or add different models like voyage-law-2 ?
Thanks in advance
Has anyone got a free solution for using a function calling compatible chat as im getting errors using chatollama function within my agent flow.
I see new video I like! Always the best content
Haha, thank you 😊
Great ❤, please upload Rag chatbot video using weaviate, llama3, where doing semantic search on database column of csv files/real database like supabase or others
Do you think its possible to build a bot like this just using hugging face models ? Thanks for the tips
Hi, thanks for this video, its really hard to find examples that are not with OpenAI. I'm trying to make an agent that loads PDF files but I almost always get errors when upserting. So I tried with some pdf books and manual i've found online but only one of them works, algo made my own pdf with just one page and it works. I've tried Qdrant, Pinecone, the in-memory. And it always work with the one i made, but never with the ones i downloaded. It can be problems with the file? or that i'm using free version or qdrant and pinecone, i always get this error: typeError: cannot read properties of undefined (Reading '0'), and I can't find anything online about it. Is there any error log for flowise (I'm runing it in hugginface).
Is that possible to use Ollama for function calling?
Leon, can we implement dual retrieval systems-one from documents and another from SQL or structured table data-each utilizing distinct embedding models, with the chat automatically routing requests accordingly?
Leon, Is it possible to simulate langgraph flow using existing Flowise AI nodes ? If so, shall you please create a tutorial on it
what is the difference between Tool Agent and Conversational Retrieve Agent?
They're really identical. I personally prefer to use the tools agent, truth be told.
Hello,
Thank you for your video. I would like to know if it is possible, instead of having the chatbot on an icon on my site, to have it on a page of my website. Could you tell me how can I do this?
Thank you.
You can use the full page embed for this.
Hi León, possibilities open!! Thank you!!!! The dimensions value is mandatory for all vector stores? Everytime I See Pinecone I See reference to dimensiones, but for example I use chromadb and never was asked nor entered a dimensión value. Is this something Flowise takes care of, or it is just that chromadb does not need this value? Thank you!!!
That's actually a really good question. I don't know 😁.
I noticed that the new Upstash Vector also does not require the dimensions, yet it works with all embedding models.
Maybe someone in the comments know..
same like open ai anthropic ,"message":"Your credit balance is too low to access the Claude API. Please go to Plans & Billing to upgrade or purchase credits."}}
These providers are not free, do it makes sense 😜.
You could try out Groq, which is free and uses open source models.
Friend, I'm trying to use the retriever tool, but unfortunately the Tool Agent can't "see" it. It completely ignores the Retriver Tool, even though it is completely configured.
And what could it be? And what to do to agree?
Thank you very much and congratulations for the content
You could try to adjust the system prompt to force it to always use the tool
@@leonvanzyl I got it, thank you very much. But I confess that it didn't turn out as well as I wanted, can I find something similar to real estate assistance with flowise on your channel?
Hello Leon . I have built a RAG application with flowise .I want to be able to upload a pdf or document and query it , just like chatgpt , or Germini they have the document upload button.Please how can i do that ?
Within Flowise, you will have to use a document loader. It's not possible at this time to upload docs on the chat window.
If you're using the Flowise API, then you can load documents as well. Check out my video on using the Flowise API.
@@leonvanzyl Thanks Leon I shall watch the video now
Hi! I followed the steps along with Leon, and when I try to test the flow with the calculator, I get an API key error: "Your credit balance is too low to access the Claude API. Please go to Plans & Billing to upgrade or purchase credits." I thought it was free. Has this happened to anyone else?
It is not free. You get an initial $5 of free credit when you verify your account.
@@leonvanzyl Oh, I get it. Thanks!
Really helpful thanks. One question, from my testing it seems you don't get streaming with this setup (there's a long delay then the answer arrives all at once) is that correct?
Well spotted. I think this would depend on the model that you're using. Not all models support streaming.
Leon, is Anthropic cheaper than openai?
I didn't understand the Haiku model charges Input: $0.25 / MTok and Output: $1.25 / MTok and openai charges $0.50 / 1M tokens $1.50 / 1M tokens (3.5 turbo) but Anthropic is only 200 thousand tokens while openai is 1M tokens, right ? 4 times more than Anthropic. That's right?
I'm looking for a cheaper alternative than openai.
Claude has a 200,000 token context window (can go up to 1 million).
I believe it's cheaper as well.
Thanks Leon great content as always, I am missing the Tool Agent from the menu I assume I need to update Flowise, did you have a video explaining how to do the latest update of Flowise.I followed the instructions downloaded the script you have supplied on GitHub ( ua-cam.com/video/nqAK_L66sIQ/v-deo.html ) I am not sure why but I can not see the latest Tool Agent in my toolbar, my current version is 1.6.2 I noticed that the latest is 1.6.6 can you please explain how I may upgrade to the latest 🙏🙏? thx Manie
Yes, you need to update Flowise first 👍.
My Getting Started video shows how to update locally and the Deploying video shows how to update on Render.
@@leonvanzyl Baie dankie 🙏🙏
Thank You For Your Help. I have a question that Can I Create mutiple types of chatbots like customer support, ecommerce, healthcare, recruitment & many more. Can I integrate flowise chabots in multiple platforms like whatsapp, Instagram and many more. Please answer my question.
I’m just now discovering AI agents and to be honest AI in general. I have never coded before however I’ve had several brainchild applications built for myself and my business. I worked very closely with the developers prior to even starting the project. I left a very little to the imagination and determining, the entire workflow from section the section of the application so I feel that almost this is kind of doing the same thing in a graphical manner. I suppose my question is how difficult is it for someone like me to pick up this type of interface I was able to follow along pretty well on this video I suppose I would just need to know where to find references to all these tools and their functionalities. Would you all consider this a pretty basic video video? Does it get far more complicated than this?
Hi Leon, under tools there is requests post... any chance of a tutorial on that?
Will do
@@leonvanzyl I actually achieved what I wanted using the custom tool but I would guess the requests post would be easier?
Thanks so much for this helpful content, i have a question, I'm using supabase as my database, if you'll like, can you teach us on how to use it as the vector store
Can I use local functional model?
If it supports function calling, then yes :-) .
Not all models support function / Tool Use yet.
@@leonvanzyl Could you give me some example models can run locally?