Each point you have said my mind is blowing , open-soruce and chatbot with huge tools like this and nodes to dealing with easily , wow I have never seen open-soruce clean like this
Very good tutorial mate! You explain things very clearly and with very relevant examples. You build up on the level of difficulty gradually, hands down the best one I've come across on Flowise!
Hey Leon I was following your tutorial and I got an error saying: “Request failed with status code 429 and body {"error":{"message":"You exceeded your current quota, please check your plan and billing details.","type":"insufficient_quota","param":null,"code":"insufficient_quota"}}” Does this mean I have to purchase a plan in flowise?
@@desu_p upgrade to a paid account ☺️. Alternative is to use an open source model (video coming soon), but this comes with its own limitations- like the hardware requirements and extra setup.
I am wondering what is the difference between using a conversational agent or Auto-GPT in an application as like the Agent Demo you show in the video. Does anyone can help me to understand?
Hello, I am brand new to this stuff. But I want to know if it’s possible to let 1 Chatbox made in Burble to be connected to multiple Chatflows in Flowise AI. So I can achieve to trigger Zapier actions or search through my mails, file, etc…
Thanks for the wonderful tutorial. Just wondering how can I assign different memories to each different chat sessions to avoid collision between different users?
Hey Leon. Much appreciated. Baie dankie. I did the agent demo as you explained. I asked it what today's data was. It responded with 25 February 2022. I said it is not, the date is 13 August 2024. It responded: The date provided, 13 August 2024, is not the current date. Today's date is February 25, 2022. Was just curious why this, with the SERP connected as a tool, would respond like this?
Hi Leon, thank you for the information great explanation, is it possible to add a JS function whereby the user for example type in the chatbot '@hubspot open leads' then navigate to new defined url
This video course accelerated my business like crazy. Thanks! Can you please make a video on the chain tool? I have found this to be the key to connecting retrieval chains to the agents. I am not sure how the chain tool works which is frustrating
Hello Leon!, I need you to help me with something. Is it possible to make the bot I am creating capable of reading the information I have inside a folder on the google drive? and every time I update that folder the bot updates its KB?
Hey there. There are solutions to your problem, but you won't be able to connect a Google Drive folder in Flowise natively at this time. The solution would basically have to sit outside of Flowise, like a Make or Zapier trigger, which calls a Flowise API when the folder contents change.
New SUB!! Amazing Leon.This is a quite impressive series you have put together, can't wait for the rest of your Content regarding Flowise. I have a question regarding the chat prompt template you are showing at around 10:00min. Is it possible to talk to files while having the chat prompt template node in the workflow. As an example "Act as a helpful assistant..." while QAing the uploaded file. The reason I'm asking is that I have trouble to make it work as I have tried all sorts of combination. Every time I'm enabling a Chat prompt template with a specific system message it would stop read the files I have uploaded previously. It feels like you can have only one or the other..
Thank you for the amazing feedback! Interesting use case. I'll look into it and try and cover it in a future video. I would probably try to use a prompt chain to pass the results of the QA chain to another chain. Check out video 8 😀
@@leonvanzyl Thanks for your answer. As an Example you can do this in Stack-AI. They allow you to upload a file and enter a system message to the Open AI LLM. I know they use Langchain in the Backend but can't figure out how they made it work you can have both. I'll try some prompt chain combinations to see how far I get. ✌
This is great! Great video. You asked for suggestions for future videos :) ... Multi-user memory. Example use case: I have an app on the app store that I'd like to add a chatbot to, is there a mechanism with flowise where each user in the app could have an ongoing conversation with the chatbot. i.e., an input would be the app userID and then the LLM would pick the conversation up from where that user left off last time they were using the app?
Hi, Thanks for the video and your intro to flowise. I am trying to create the conversational agent chain as per your instruction using the same nodes but I am getting this error>>>> SyntaxError: Unexpected token < in JSON at position 0. What could be causing it?
@@leonvanzyl Thanks for the swiftest reply ever!😊. I have deleted and restarted afresh and still have the same error message in the chat window.. I have also tried doing the conversation chain example (which I had skipped before) and noticed that I cant get a response from the chat model.. It just keeps asking me the same question >> Sure thing! What can I assist you with today? what am I doing wrong? I am using a localAI node with wizard 13B model..
Click on Additional Parameters on the agent / chain. There you can enter a system prompt. Enter something like "only answer from the given context. Do not make up answers. If you don't know the answer, then say something like I don't know the answer to that."
Hey Leon, when I try to test my chatflow I am getting Network Error .. I have created the API key in Open AI and I am following your instructions but I am not sure why I am getting this Network Error in the chat while testing
@@leonvanzyl When I type in the chat to test the translator flow as your insructions say in the first video or if i create my own flow .. it keeps looping then I get Network error back in the chat.. not sure what might be the issue :(
I installed Flowise on my Mac and followed all the steps mentioned in the video. However, I kept getting the error: Error: Error:Error: ENODNT: no such file or directory, open " - how do I fix this problem?
I think there is a bug in Flowise. Perhaps try updating your Flowise instance, or deploy it to Render while the Flowise team work on the fix. Check my deployment video.
I need Chat GPT to generate questions to ask customers. For example, the first priming prompt sounds something like this: "You are a seller and you are trying to sell me {product}. Ask me multiple-choice questions to determine what is the best {product} for me. Ask one question at a time, no more than 2 questions in total. Recommend up to 10 products after I answer all the questions, also provide one sentence for each recommended product to explain the main features and benefits" Any ideas on how to accomplish this task?
hello, I have a question about wanting to enable both function calling and Retrieval for the bot I am creating, similar to how GPTs operate. How can I add a front-end layer in Flowise to determine which method should be used to solve the user's current question? Or even to identify that the user's issue can be resolved simply through conversation?
Hi there, great question. You can use OpenAI Assistants within Flowise. I have a video on this. Or, you can use a Retrieval Agent. Agents are able to use tools, and with retrieval you can also include a vector store
Hey Roaming. I don't think this would be possible using Flowise at this stage. It will have to be a 2-step process. You would have to build an application that uploads the audio file and concert it to text. The 2nd step would then be to pass the text as a prompt to the model using Langchain or a Flowise API. This might be a nice project for a tutorial?
thanks for the great video🤩, in some cases i get unfinished or not so long answers with serp API and openai; is this related to token size or something to do with serp API?
Thank you for the compliment. You could try different models. In the LLM and ChatLLM nodes, try selecting different models. In their parameters, you could also try to set larger token limits.
When I try the Conversational Chain with Buffer memory this error shows up: Cannot convert argument to a ByteString because the character at index 85 has a value of 55357 which is greater than 255. Anyone knows if there is a way to fix it? I am using the exact configurations of the video.
Thanks for the tutorial! Could you explain the Document loader called "Folder with Files" and how you set it up? I want to deploy a lot of PDF files in a folder and upload them but I don't understand what the URL / Path section means in the module. Could you please help?
hi! im following the video and building everything the same way as leon is, but when i asked the bot to give me a dad joke about weddings as instructed in the video, i got a message back saying "You exceeded your current quota, please check your plan and billing details." Does anyone know what this issue is? does this video and the lesson not work without a paid subscription for chatgpt 4?
It's would "look" and work pretty much the same. Guess I could have explained token usage better. If you include the entire document in the context (and not just the relevant chunks) you'll OpenAI bill will blow up in record time 😄
Thank you. That brings up my next question: what’s the easiest way to know how much these API are costing? I know that some API I’ve used in the past as part of the response return the individual request cost (such as Amazon Polly), but do you know whether Open AI and other APIs provide this information? Obviously it’s pretty hard for flowise to do this if the underlying API doesn’t tell you.
Leon, Firstly awesome content, Truly an invaluable resource! I was wondering if you could assist me with a query: Is there a method to save the chat history to a database/Redis and subsequently retrieve those conversations from outside the Flowise ? When I tried to use Redis memory instead of buffer, I did not saw any keys getting created.
Thank you! I use Redis for storing the conversation. It's a bit too complicated to answer in a comment, but you're definitely on the right track. After setting up Redis and the flow, do you run into any issues? Think I need to created a Redis / Flowise tutorial 😊
Thank you so much Leon,it was great,If I want flowise to partly use the information in the langchain database and partly use the real-time information of the serp, how can I achieve this?
great video! amazing work Leon! question for you: I would like to build a bot where I can input Website tool + Serp API + Vector databases. so the bot could interact with google, with specific websites content and also my loaded csv file. looks like Allowed tool inputs connect with Serp and websites tools, however I don't succeed connecting my pinecone module. any advice? thanks again
@@leonvanzyl I don't get any items entered into the DB. I get read functions from the monitoring, but I must be missing something because no conversation items get written.
This is all engineered incorrectly from the start. Every flow should start with a "trigger" which can be something that happens periodically, a webhook is called, emails are fetched etc...
Hands down, best tutorials on Flowise to be found. Thank you so much!
Thank you!
Agreed! 👍
You are a god, flowise didn't make these great tutorials teaching beginner users how to use their own platform but you did, thank you very much
You're welcome. Just glad I could help
Flowise is incomprehensible without this tutorial (and am familiar with langchain). Thank you very much - you’ve saved me hours of work.
You're welcome
This is one the best tutorials from all the online tutorials I have ever watched (no matter the theme 😅) until this very moment 😅 Big thumbs up 💪💪👍
Thank you very much!!
Each point you have said my mind is blowing , open-soruce and chatbot with huge tools like this and nodes to dealing with easily , wow I have never seen open-soruce clean like this
Thank you 🙏
The best tutorials for the greatest app out there! Many thanks Leon!
Thank you!
best list of videos about flowise, hope you keep posting.
Thank you! Will keep posting 😁
Very good tutorial mate! You explain things very clearly and with very relevant examples. You build up on the level of difficulty gradually, hands down the best one I've come across on Flowise!
Thank you!
Brilliant just brilliant Really clear very well explained
Thank you!
This blows my mind - so easy!
It is really cool. Very fun to play with as well.
Hey Leon I was following your tutorial and I got an error saying:
“Request failed with status code 429 and body {"error":{"message":"You exceeded your current quota, please check your plan and billing details.","type":"insufficient_quota","param":null,"code":"insufficient_quota"}}”
Does this mean I have to purchase a plan in flowise?
It most likely means that you've exceeded your quota on OpenAI.
@@leonvanzyl how do I dodge this issue?
@@desu_p upgrade to a paid account ☺️.
Alternative is to use an open source model (video coming soon), but this comes with its own limitations- like the hardware requirements and extra setup.
Hi Leon! Your flowise tutorials are amazing!!! Thank you!
Thank you!
I really enjoyed the video. Clear explanation. Thank you.
You're welcome 🤗
Thank you so much Leon, it is very helpfull, I hope you will show us more nodes examples on Flowise! Thanks again!
I am wondering what is the difference between using a conversational agent or Auto-GPT in an application as like the Agent Demo you show in the video. Does anyone can help me to understand?
Will do 👍
Hello, I am brand new to this stuff. But I want to know if it’s possible to let 1 Chatbox made in Burble to be connected to multiple Chatflows in Flowise AI. So I can achieve to trigger Zapier actions or search through my mails, file, etc…
Thank you so much for sharing your knowledge
You're welcome 🤗
Thank you. Very clear and helpful.
You're welcome 🤗
These tutorials are amazing thanks.
You're welcome 🤗
thanks a ton. Best example to get started so far.
You're welcome 🤗
Awesome tutorials, is it possible to create agents with custom data on flowise?
Thank you!
Yes,.you can add a knowledge base using documents. Check out videos 3 and 4 in the series.
Thank you so much! When is the third video coming?
You're welcome. In a few days 👍
Great tutorial. Thanks.
You're welcome
in the agent demo I get this error Got 403 error from serper: Forbidden
Did you manage to solve this? It might help others if you can share the solution.
Thanks for the wonderful tutorial. Just wondering how can I assign different memories to each different chat sessions to avoid collision between different users?
Flowise actually automatically generated unique chat IDs for each session when you embed the bot in your website, or use the API.
Very useful for beginners, thanks!
You're welcome 🤗
How can I connect Flowise with chatdev GitHub in my VSC. Basically how to create a Multi agent system in a chatbot?
Hey Leon. Much appreciated. Baie dankie. I did the agent demo as you explained. I asked it what today's data was. It responded with 25 February 2022. I said it is not, the date is 13 August 2024. It responded: The date provided, 13 August 2024, is not the current date. Today's date is February 25, 2022. Was just curious why this, with the SERP connected as a tool, would respond like this?
Hi Leon, thank you for the information great explanation, is it possible to add a JS function whereby the user for example type in the chatbot '@hubspot open leads' then navigate to new defined url
Hi Manie,
Unfortunately not. Flowise has no way of interacting with your browser.
@@leonvanzyl Thank you!
Hello ! With the conversation chain, is it also possible to have prompt templates like in the LLM chain ?
Unfortunately not, but you can edit the system message to influence the behaviour of the bot. Click on Additional Parameters on the agent.
This video course accelerated my business like crazy. Thanks! Can you please make a video on the chain tool? I have found this to be the key to connecting retrieval chains to the agents. I am not sure how the chain tool works which is frustrating
Thanks for the feedback!
I'll definitely cover the chain tool at some point
Hello Leon!, I need you to help me with something. Is it possible to make the bot I am creating capable of reading the information I have inside a folder on the google drive? and every time I update that folder the bot updates its KB?
Hey there.
There are solutions to your problem, but you won't be able to connect a Google Drive folder in Flowise natively at this time.
The solution would basically have to sit outside of Flowise, like a Make or Zapier trigger, which calls a Flowise API when the folder contents change.
New SUB!! Amazing Leon.This is a quite impressive series you have put together, can't wait for the rest of your Content regarding Flowise. I have a question regarding the chat prompt template you are showing at around 10:00min. Is it possible to talk to files while having the chat prompt template node in the workflow. As an example "Act as a helpful assistant..." while QAing the uploaded file. The reason I'm asking is that I have trouble to make it work as I have tried all sorts of combination. Every time I'm enabling a Chat prompt template with a specific system message it would stop read the files I have uploaded previously. It feels like you can have only one or the other..
Thank you for the amazing feedback!
Interesting use case. I'll look into it and try and cover it in a future video.
I would probably try to use a prompt chain to pass the results of the QA chain to another chain. Check out video 8 😀
@@leonvanzyl Thanks for your answer. As an Example you can do this in Stack-AI. They allow you to upload a file and enter a system message to the Open AI LLM. I know they use Langchain in the Backend but can't figure out how they made it work you can have both. I'll try some prompt chain combinations to see how far I get. ✌
Great video, thanks! Would love to see a video how to use the Cheerio document loader to retrieve data from webpages.
Thanks for the feedback.
This is great! Great video. You asked for suggestions for future videos :) ... Multi-user memory. Example use case: I have an app on the app store that I'd like to add a chatbot to, is there a mechanism with flowise where each user in the app could have an ongoing conversation with the chatbot. i.e., an input would be the app userID and then the LLM would pick the conversation up from where that user left off last time they were using the app?
Awesome idea
Great video thanks Please make more flowise videos
Will do 😁
Hi, Thanks for the video and your intro to flowise. I am trying to create the conversational agent chain as per your instruction using the same nodes but I am getting this error>>>> SyntaxError: Unexpected token < in JSON at position 0. What could be causing it?
I've seen that happen when I forget to save the flow before testing it.
@@leonvanzyl Thanks for the swiftest reply ever!😊. I have deleted and restarted afresh and still have the same error message in the chat window.. I have also tried doing the conversation chain example (which I had skipped before) and noticed that I cant get a response from the chat model.. It just keeps asking me the same question >> Sure thing! What can I assist you with today? what am I doing wrong? I am using a localAI node with wizard 13B model..
Is it possible to use a chat prompt template whilst using the conversational agent?
You could just set a system message.. might solve your requirement.
On the agent, click Additional Parameters and enter the system prompt.
how can we limit the Gpt model from answering unrelated to questions, i want to limit it only to my data
Click on Additional Parameters on the agent / chain.
There you can enter a system prompt.
Enter something like "only answer from the given context. Do not make up answers. If you don't know the answer, then say something like I don't know the answer to that."
I don't get the dropdown for gpt turbo or the others. for whatever reason it wants me to use devinci any idea why?
Hey there.
Use ChatOpenAI instead of the standard OpenAI node. You'll find it under the Chat Models section.
@@leonvanzyl Thank you!!
are you able to use a chat prompt template with tools like search all together?
You can't assign a prompt template to an agent, but I believe you can set a system message on the agent by clicking on Advanced.
what is the difference between chatopenai and openai. why did you use chatopenai for conversation?
ChatOpenAI gives you access to GPT3.5 and GTP4 models.
GPT3.5 is really affordable.
Hey Leon, when I try to test my chatflow I am getting Network Error .. I have created the API key in Open AI and I am following your instructions but I am not sure why I am getting this Network Error in the chat while testing
What is the exact message? Maybe someone in the comments would be able to assist.
@@leonvanzyl When I type in the chat to test the translator flow as your insructions say in the first video or if i create my own flow .. it keeps looping then I get Network error back in the chat.. not sure what might be the issue :(
I installed Flowise on my Mac and followed all the steps mentioned in the video. However, I kept getting the error: Error: Error:Error: ENODNT: no such file or directory, open " - how do I fix this problem?
I think there is a bug in Flowise. Perhaps try updating your Flowise instance, or deploy it to Render while the Flowise team work on the fix. Check my deployment video.
Is the Prompt Template the same thing as the RASA training yml files
Interesting question. I don't think so, I mostly saw the prompts as strings that are injected into the system message or context.
What can I do if the Chatbot say "You exceeded you current quota, please check your plan and billing details?
Sounds like you've used up your free OpenAI credit, or it expired.
You'd have to top up your credit or create a new account.
is there a way yo create a multiple choice question and then generate product suggestion?
I would use a tool like Botpress or Voiceflow for this.
Thanks man@@leonvanzyl
I need Chat GPT to generate questions to ask customers. For example, the first priming prompt sounds something like this: "You are a seller and you are trying to sell me {product}. Ask me multiple-choice questions to determine what is the best {product} for me. Ask one question at a time, no more than 2 questions in total. Recommend up to 10 products after I answer all the questions, also provide one sentence for each recommended product to explain the main features and benefits"
Any ideas on how to accomplish this task?
Hey one question: Is it really free to use the OpenAI API_KEY or do I have to pay for the usage?
OpenAI is a paid service.
You get some free credit after creating your OpenAI account that you can use to follow along with the tutorial 👍.
hello, I have a question about wanting to enable both function calling and Retrieval for the bot I am creating, similar to how GPTs operate. How can I add a front-end layer in Flowise to determine which method should be used to solve the user's current question? Or even to identify that the user's issue can be resolved simply through conversation?
Hi there, great question.
You can use OpenAI Assistants within Flowise. I have a video on this.
Or, you can use a Retrieval Agent. Agents are able to use tools, and with retrieval you can also include a vector store
The best tutorial ever on Flowise. Can you do one using the Huggingface as well?
Thank you 🙏.
How can we create custom agents in flowise, I am trying to make a chatbot that has serp, memory and sounds like a pirate. Plz help
Excellent idea for a tutorial. Thanks 😁
@@leonvanzyl plz make that video asap a
Can you use "Chat Models" and "Agents" to local-install LLMs?
I believe so. There's a "local LLM" node that supports models like GPT4ALL. I'm looking into this.
How would you add a MP3 file upload and use Whisper-1 to transcribe the audio to text before you pass it to a LLM?
Hey Roaming.
I don't think this would be possible using Flowise at this stage.
It will have to be a 2-step process.
You would have to build an application that uploads the audio file and concert it to text.
The 2nd step would then be to pass the text as a prompt to the model using Langchain or a Flowise API.
This might be a nice project for a tutorial?
@@leonvanzyl definitely yes sounds promising..
@@leonvanzyl Yes please!
thanks for the great video🤩, in some cases i get unfinished or not so long answers with serp API and openai; is this related to token size or something to do with serp API?
Thank you for the compliment.
You could try different models. In the LLM and ChatLLM nodes, try selecting different models.
In their parameters, you could also try to set larger token limits.
When I try the Conversational Chain with Buffer memory this error shows up:
Cannot convert argument to a ByteString because the character at index 85 has a value of 55357 which is greater than 255.
Anyone knows if there is a way to fix it? I am using the exact configurations of the video.
I've seen messages similar to this, but they're usually caused by not saving the Chatflow before testing it. Could be the issue for you as well?
You are amazing
Thanks for the video Leon. Do you think I can learn Flowise and integrate it with my no-code app builder if I don't know Phyton/Javascript?
Yup, you don't need coding experience.
Have a look at the website embedding video in this series.
@@leonvanzyl bro do you do consulting/coaching?
Thanks for the tutorial! Could you explain the Document loader called "Folder with Files" and how you set it up? I want to deploy a lot of PDF files in a folder and upload them but I don't understand what the URL / Path section means in the module. Could you please help?
Will do.
hi! im following the video and building everything the same way as leon is, but when i asked the bot to give me a dad joke about weddings as instructed in the video, i got a message back saying "You exceeded your current quota, please check your plan and billing details." Does anyone know what this issue is? does this video and the lesson not work without a paid subscription for chatgpt 4?
This most likely means that you've exceeded your free credit on OpenAI.
is it possible to chain separate/different chatflows?
I'm not sure how legit my solution is, but I combine the APIs with Custom tools to chain together multiple Chatflows.
I have videos on both topics.
It would be neat to demonstrate how the chat works without the text spitting and vectors and why they’re beneficial
It's would "look" and work pretty much the same.
Guess I could have explained token usage better. If you include the entire document in the context (and not just the relevant chunks) you'll OpenAI bill will blow up in record time 😄
Thank you. That brings up my next question: what’s the easiest way to know how much these API are costing? I know that some API I’ve used in the past as part of the response return the individual request cost (such as Amazon Polly), but do you know whether Open AI and other APIs provide this information? Obviously it’s pretty hard for flowise to do this if the underlying API doesn’t tell you.
Leon, Firstly awesome content, Truly an invaluable resource! I was wondering if you could assist me with a query: Is there a method to save the chat history to a database/Redis and subsequently retrieve those conversations from outside the Flowise ? When I tried to use Redis memory instead of buffer, I did not saw any keys getting created.
Thank you!
I use Redis for storing the conversation. It's a bit too complicated to answer in a comment, but you're definitely on the right track.
After setting up Redis and the flow, do you run into any issues?
Think I need to created a Redis / Flowise tutorial 😊
the best video tutorial for Flowise AI
Thank you for the feedback!
Thank you so much Leon,it was great,If I want flowise to partly use the information in the langchain database and partly use the real-time information of the serp, how can I achieve this?
You're welcome.
Nice suggestion for a video. Will see what I can put together.
great video! amazing work Leon! question for you: I would like to build a bot where I can input Website tool + Serp API + Vector databases. so the bot could interact with google, with specific websites content and also my loaded csv file. looks like Allowed tool inputs connect with Serp and websites tools, however I don't succeed connecting my pinecone module. any advice? thanks again
Thank you for the feedback. I'll look into this and see if I can work it into a tutorial somehow. It's definitely too much to explain in a comment 😁
hey can u please show how u could deploy an application built using flowise maybe integrating it with gradio?
We'll definitely have a look at deploying our apps.
THANK YOUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUUU
YOUUUUUU'RE WELCOOOOOOOOOOOOOME 🤗
welldone sir for this beautiful tutorial please how do I go about integrating it with hugging face
I'll be releasing the Huggingface tutorial this week.
Thanks for the great series Leon - how is it possible to modify the Prompt Values by means of an API, or is that not possible at this time?
Thanks for the compliment!
I will cover API's soon, which will hopefully answer your question 👍
Why do i get “you exceeded your current quota”?
You have reached your OpenAI credit limit, or your free credits have expired.
Is there any way out to this?like the free one?
Could you do a tutorial on how to use a DynamoDB for long term memory?
It's easy to set up.
Flowise has support for DynamoDB. Simply add the DynamoDB memory node to your project.
@@leonvanzyl I don't get any items entered into the DB. I get read functions from the monitoring, but I must be missing something because no conversation items get written.
please also make video on error when setup flowise for first time.
Hey there. What error are you referring to?
why does my chatflow keep on deleting its self ?
Are you running Flowise locally, or on Render?
Haven't seen that issue before if you're running local.
i need to get the standard plan 7$@@leonvanzyl
Please more video on flowise please please
Your wish is my command 😄.
Working on more videos.
💎
Thanks!
thanks
You're welcome
the system is giving me 0: as the answer when I type the question.
Which memory node are you using?
@@leonvanzyl Buffer Memory node
@@leonvanzyl pls reply
nice to see another south african building some ai chat bots lol
pls use dark mode
I use darkmode in the newer videos 😅
@@leonvanzyl cool! Great tutorials BTW. Thank you very much. 🙏
This is all engineered incorrectly from the start. Every flow should start with a "trigger" which can be something that happens periodically, a webhook is called, emails are fetched etc...
You might be thinking of platforms like n8n and VectorShift. Flowise offers API endpoints which you can call from other platforms.
@@leonvanzyl Thanks I'll check out Vector shift. I'm also looking into Make and Zapier however I'd rather it be local