Awesome stuff, Dave! Loved how you delved into Flowise and LangchainJS. Hoping to see some comparisons on AI Agents, especially long-running and autonomous ones in Langchain. Keep it up! 🚀
Hi Dave, thanks for sharing. Flowise is pretty cool as a rapid-prototyping tool, you can visually chain complex objects in just a matter of minutes. I found some cons though, which I think the devs should address. - Debugging is tough. Each API-based component should have a test button (does the key work? is the deployment name correct?). Those aren't things you want to guess from pieces of text in the chat box. - Coding. It's nice to have a visual interface, but at the end of the day this is just chaining function calls. It would be nice to have the Python code corresponding to a specific saved flow. So that one can customize it. I wonder if they are interested in getting precise feedback from users to improve and prioritize features. I'd be really kin to help them build a great product.
great content. Reminds me of the same concept as node-red, but specifically built for AI apps. I think this can go a lot further than just a prototyping tool, seeing as how far node-red has come from where it started. Really neat.
Hi Dave, my problem is most companies won’t be happy uploading internal documents to a external server. Do you think you could make a video where a chat bot is created but the company can keep there internal documents on their end 🔥 🙏
Hey, there are ways to do this using the stack explained in this video. For example, you could use the Confluence API document loader to query documents stored in your Confluence site
Hi, many thanks for the video. How did you prepare the txt input file? Do you have a video or link to understand the contend and how to prepare it? Thanks
Really good video. For beginners a video on how to use Git etc would help just to get grounded in the concepts of how to use VS code, download repositories and so forth would really help. Thanks for all your efforts, much appreciated.
❤ I love all of your videos, and especially this one. As a no coder entrepreneur, I really appreciate this kind of step by step tutorials. Many TH-camrs are making similar ones, but yours exceeds. Only two points. To your surprise, one of the hardest part of this kind of tutorials is, setting up the apps. The process is no brainer for coders and data scientist, but not for no coders. Two. I always wanted to see a tutorial covering end to end process, meaning designing GUI to (e.g., Figma) to connecting to algo (e.g., Flowise) so that I can build a completely functioning app or MVP. I’d appreciate if you could do this type of video. 🎉
+1 For many videos I can't even go pass the point of the setup because they go so fast over it thinking we know about it, but we don't. Guess what, the people who get that, are not here trying to watch the video tutorial. Come on guys.
I was looking for this in your channel yesterday. Todays youtube algorithm rewarded me with this suggestion haha. Thanks for this valuable content. Greetings from Argentina! New suscriber =)
For anyone setting this up now and experiencing a "TypeError" when they send messages in the chatbot- removing the document module and adding it again worked for me.
Thanks for the videos Dave! Keep them comming. Also noticed you doubled your subscribers since you made the video, congrats. Your conversational agent snitched :)
Copy/pasting the "connect credential"s is different now than how the video shows. In the Flowise UI, you can no longer copy/paste the credentials. You need to click on the Connect Credential field and select "create new" which opens a popup window. In that window, put in your username and then finally you can copy/paste the API key.
Dave, this was great. Thanks. I now have my own flowise agent that can read the thousands of pages of planning regulations and make sense of them. Would you have any guidance on best practice for document managment, e.g. how to ensure the bot has the latest version of a document, how to audit the currency of the docs in a document store or even be reminded when a document is out of date.
Hi Dave, thanks for this amazing video. I have a few question, is it possible to teach to our chat bot to ask some specific questions to make a 2 way conversation? I want to use this chatbot as a sales rep in our website, talking with our clients. Also is it possible to teach the chatbot to not saying some specific things. For example I am afraid it recommend our competitors to our clients :)) I guess this chatbot is linked to Chatgpt and uses the same dataset, so it can use its own dataset to say something and offering our clients to the competitors
Hi, you are very clear, but you use and refer to so many things I have never heard of. Where can I learn what I need to understand your tutorial? Lars, Norway 😊
Great video thanks. As a no coder myself I have been looking at the best ways to utilise chatbots for my clients. flowise still requires a number of steps and some low code know how, but now we are seeing chatbot solutions requiring no technical ability ie no code become available, Orimon, chatbase to name but a few. Maybe not a flexible as flowise in terms of functionality. Your thoughts?? BTW Subscribed.
hi tnx for the guide , i tried to bulid the doucument chatbot , i uplade txt file , when i asked "what this document about " he answer "i dont know "why its happened?
Hey Dave, I just watched your video and I must say that it was really informative, very useful and well-made. I loved your videos. I was wondering if I could help you edit your videos and also make highly engaging shorts for you?
Issue I'm having with these document loaders and vector stores is they get soooo slowwwww once you start loading actual data into them. At around 500 MB of pdfs and vectors, these vector stores take so long to query the whole app breaks down. Not to mention cost issues if you go down the openai api / pinecone route.
I just bought the AI writing assistant chat bot. I can not do folders. II can not do that stuff on the left siide. I'm paying $14.99 a month. Which cat bot should I be using for this.
Hi Dave, thanks so much for this very good video. One question. just wondering about privacy and if information written in our documents are passing to OpenAI while using its APIs. Good part of data are also going to a third party on cloud service such as Pinecone. How can we ensure the privacy of our personal data, while using Flowise or similar services that make use of external API?
I am getting an error while using flowise - ErrorWithoutStackTrace: PineconeClient: Error getting project name: SyntaxError: Unexpected token A in JSON at position 0. Tried to cross check but not sure what is going wrong. Could yo please help?
Hello Dave, I am asking here as this is your latest video, I have seen your videos regarding Langchain, I am curious how to optimize inference while using LLMs in Langchain using TensorRT or Onnx Runtime... As in Industries, It's very obvious, to save the time as well as computation cost... In TensorRT while using open source models, we have techniques like quantization and a few more more for that... So In Langchain is there any way to do this?
Love it. Thanks for making these videos. This seems great to slap some components together then go in and have a lot of the code roughed in so it could be worked on from there. Is that an accurate assumption?
Hey there. Love the content. One comment if I may. Maybe show us in the begining a glimpse of 10 sec how the end looks like. then continue with the video😊
Hii Great video! Please I have an issue using flowise to chain with my notion database ( I embedded Google sheet in my notion) but my bot can’t answer questions about info in my google sheet, please what am I doing wrong ?
tnx for info.... can u help me understand the differencebetween there two Artificial Intelligence & artificial intelligence solution !!?? cuz i want to choose a university bachelor's degree??? and what do you think i should learn?? ML /// deep learning/// python //data analyst //data science...... ???? TNX
I would like to train a large language model to evaluate scientific publications, specifically regarding research, based on its adherence to the scientific method.
once ive made my bot, how can i get the bot online so its not just accessible from my laptop using the embed function to connect it to my site but then it only works on my laptop
How does it deal with the structure of a PDF? For example, if I have a Table with CAS numbers in the format 1234-56-7. Usually, I can use Regex to extract these patterns however what if the text is contained in a table column and broken by a carriage return or just generally by the structure of the document? e.g. 123- 45 -6 In a single column. It seems that the text file generated will not keep this text together. This is a frequent issue I run into when extracting data.
After watching several times it looks like I might need to be a developer or software writer to complete this. Are any others in this thread totally new to A.I. and have made a complete chat bot ? Does The material loaded become public ?
Awesome video. After watching I'm trying to go a step further and use pinecone with ConversationalRetrievalQA with langchan Js directly. I'm getting a response for the query, however for some reason the buffer only always stores the latest messages. The history of messages is never stored so I cant build on prev messages. Do you have any example for successful implementation?
@@markryan2475 wow, thanks. i'm trying to understand how that affects costs. the bigger the pdf, the more the OpenAI api would charge me? or does the OpenAi only charge by the size of the response? 'appreciate the insight
The PDFs are split up into chunks of for example, 1000 tokens. So it does not affect your OpenAI API costs. This video gives a more in-depth explanation of how this all works under the hood: th-cam.com/video/NYSWn1ipbgg/w-d-xo.html
Hi, Can you please advise how to use the Folder Path in "Folder with Files" document loader. I've deployed the Flowise app on GCP as docker image. Thanks
Nice and extremely useful video Dave… how can I use a website as the source? This allows for updates to immediately be available and we don’t have multiple locations of our data items.
I have particular websites Not wanting the whole web. It will use these particular websites as it’s data source for conversion with memory. Help? And thanks again.
I tried your exact workflow on windows and on mac, but never been able to get it going. On mac all i got was 'Error: Error: Error: ENOENT: no such file or directory, open'
Hi Dave, question. A lot of documents I want to upload have images meaningful to the subject. Is there already a way for AI to take these into account when chatting to a document?
I followed all the steps to the end. I uploaded the text file, ran to the chat, and asked it questions. All I received back were error messages such as "Error: Request failed with status code 429"
Me too. It's coming from Open AI and it says I'm exceeding my current request quota. I'm on the OpenAI free tier which allows you only 3 requests a minute. So I'm wondering if that's the problem. But when I look at the analytics for my account it doesn't show any requests. @bwp2bruce did you figure out what the problem is?
Thanks for the video, it's very useful. Is it possible to integrate a voice assistant that receives a question as input and answers via voice, using the information in the pdfs? It would be very useful. What do you think about it?
An addition to the setup if (a) you are running on Apple silicon (i.e. M1 or M2) and (b) you want to use Docker compose. When I first went to the docker setup and issued the command $ docker-compose up -d It the docker container for flowise failed to start because the platform was not specified. The solution is to add the platform specification line to `docker-compose.yml` immediately after the line `image: flowiseai/flowise` My file now looks like this: ``` version: '3.1' services: flowise: image: flowiseai/flowise platform: linux/amd64 … ```
i am facing this error: failed to register layer: error creating overlay mount to /var/lib/docker/overlay2/9555cbe6b3c5967b87e6f4087726e8ee62a5892e9779da373312c1e63e4a8b3d/merged: too many levels of symbolic links can you please help me
I need troubleshooting assistance. I csn get everything connected...independently openai will respond. When i link pinecone...it will receive the vectors from the pdf when connected...but he dumb ass assistant when asked about the document says hmmm i dont know! 😅 is ir the splitter overlap...its a larger pdf...i do legal work so its case law in trying to load and ask questions
Great tutorial however i have an issue with it. I did everything like you said but when i use the chat it is just searching for an answer and doesn't actually give one, it just lags for a long time. I don't understand why could someone help me?
Okay guys i found a soluton so i'm going to post it here in case someone needs it : you need to put your credit card in openai otherwise the api key wont do its job.
Hello, 🎉 great content! I would like to request a video on a solution for chatting on PDFs using an open-source model from Hugging Face that utilizes GPU and ensures data privacy.
👉🏻Join my FREE community if you want to learn more about AI: bit.ly/data-alchemy
Awesome stuff, Dave! Loved how you delved into Flowise and LangchainJS. Hoping to see some comparisons on AI Agents, especially long-running and autonomous ones in Langchain. Keep it up! 🚀
Can I integrate this into Flutter APP as a chat FAQ?
Feel free to reach out any time! @@SmartWizzard
Any solution to build a CPU-based AI Document Chatbot which utilizes CPU and does not need API ?
Hi Dave, thanks for sharing. Flowise is pretty cool as a rapid-prototyping tool, you can visually chain complex objects in just a matter of minutes. I found some cons though, which I think the devs should address.
- Debugging is tough. Each API-based component should have a test button (does the key work? is the deployment name correct?). Those aren't things you want to guess from pieces of text in the chat box.
- Coding. It's nice to have a visual interface, but at the end of the day this is just chaining function calls. It would be nice to have the Python code corresponding to a specific saved flow. So that one can customize it.
I wonder if they are interested in getting precise feedback from users to improve and prioritize features. I'd be really kin to help them build a great product.
Agreed. "Error: Request failed with status code 401" in the chatbox dialog isn't particularly revealing...
great content. Reminds me of the same concept as node-red, but specifically built for AI apps. I think this can go a lot further than just a prototyping tool, seeing as how far node-red has come from where it started. Really neat.
Hi Dave, my problem is most companies won’t be happy uploading internal documents to a external server. Do you think you could make a video where a chat bot is created but the company can keep there internal documents on their end 🔥 🙏
I already made that before chatgpt even existed
@@airo_robot what’s it called?
Yes please, this!!! Jake and I have the same problem.
Hey, there are ways to do this using the stack explained in this video. For example, you could use the Confluence API document loader to query documents stored in your Confluence site
Hire an app architect if you don't know how to solve this basic problem.
Hi, many thanks for the video. How did you prepare the txt input file? Do you have a video or link to understand the contend and how to prepare it?
Thanks
Really good video. For beginners a video on how to use Git etc would help just to get grounded in the concepts of how to use VS code, download repositories and so forth would really help. Thanks for all your efforts, much appreciated.
This is the best review about Flowise on TH-cam!
❤ I love all of your videos, and especially this one. As a no coder entrepreneur, I really appreciate this kind of step by step tutorials. Many TH-camrs are making similar ones, but yours exceeds. Only two points. To your surprise, one of the hardest part of this kind of tutorials is, setting up the apps. The process is no brainer for coders and data scientist, but not for no coders. Two. I always wanted to see a tutorial covering end to end process, meaning designing GUI to (e.g., Figma) to connecting to algo (e.g., Flowise) so that I can build a completely functioning app or MVP. I’d appreciate if you could do this type of video. 🎉
Yes! setting it all up for we beginners is tricky. It takes a while to get familiar with Git etc
Yes, I agree. I also looking on it
+1 For many videos I can't even go pass the point of the setup because they go so fast over it thinking we know about it, but we don't. Guess what, the people who get that, are not here trying to watch the video tutorial. Come on guys.
As a non-coder, I am flabbergasted. This looks so easy! Thanks for sharing this. How can I turn this into a function Q&A widget on my webpage? 😳
ask ChatGPT
I was looking for this in your channel yesterday. Todays youtube algorithm rewarded me with this suggestion haha. Thanks for this valuable content. Greetings from Argentina! New suscriber =)
That's awesome haha - thanks!
For anyone setting this up now and experiencing a "TypeError" when they send messages in the chatbot- removing the document module and adding it again worked for me.
Is it safe in terms of the companies data or will another model use the data to train? For exmaple over the open ai API?
I'm also on the Pinecone waiting list. Do we have any other options other than Pinecone? Thanks
Thanks for the videos Dave! Keep them comming. Also noticed you doubled your subscribers since you made the video, congrats. Your conversational agent snitched :)
Copy/pasting the "connect credential"s is different now than how the video shows. In the Flowise UI, you can no longer copy/paste the credentials. You need to click on the Connect Credential field and select "create new" which opens a popup window. In that window, put in your username and then finally you can copy/paste the API key.
Great information, here from Nash's channel 🙌🙏
Thanks man!! 🙏🏻
LOVED this tutorial- thanks for sharing!!
Dave, this was great. Thanks. I now have my own flowise agent that can read the thousands of pages of planning regulations and make sense of them. Would you have any guidance on best practice for document managment, e.g. how to ensure the bot has the latest version of a document, how to audit the currency of the docs in a document store or even be reminded when a document is out of date.
How much do you have to pay per search to the GPT provider? One metric i saw had chatgpt-4 at 30 cents per search.
I'm getting the error TypeError: Cannot read properties of undefined (reading 'startsWith'), anyone knows a fix.
Hello, how are you?, very good video. I ask you a question, how did you create the embedded chat, what did you use to generate it?
Hi Dave, thanks for this amazing video. I have a few question, is it possible to teach to our chat bot to ask some specific questions to make a 2 way conversation? I want to use this chatbot as a sales rep in our website, talking with our clients. Also is it possible to teach the chatbot to not saying some specific things. For example I am afraid it recommend our competitors to our clients :)) I guess this chatbot is linked to Chatgpt and uses the same dataset, so it can use its own dataset to say something and offering our clients to the competitors
Are you uploading your data to the cloud or into the docket container?
Hi, you are very clear, but you use and refer to so many things I have never heard of. Where can I learn what I need to understand your tutorial?
Lars, Norway 😊
Great video! I couldn't find the video you mentioned at 6:07, would be nice if you could link to it.
Thank you for this amazing video. Would you be kind to build an app that would refer to a given website and reply based on that site's data?
What would you recommend using: Stack-AI, Flowise or Langflow?
Great video thanks. As a no coder myself I have been looking at the best ways to utilise chatbots for my clients. flowise still requires a number of steps and some low code know how, but now we are seeing chatbot solutions requiring no technical ability ie no code become available, Orimon, chatbase to name but a few. Maybe not a flexible as flowise in terms of functionality. Your thoughts?? BTW Subscribed.
hi tnx for the guide , i tried to bulid the doucument chatbot , i uplade txt file , when i asked "what this document about " he answer "i dont know "why its happened?
Are you able to change the language that the chatbot speaks in on flowise?
Hey Dave, I just watched your video and I must say that it was really informative, very useful and well-made. I loved your videos. I was wondering if I could help you edit your videos and also make highly engaging shorts for you?
Issue I'm having with these document loaders and vector stores is they get soooo slowwwww once you start loading actual data into them. At around 500 MB of pdfs and vectors, these vector stores take so long to query the whole app breaks down. Not to mention cost issues if you go down the openai api / pinecone route.
You are a great friend, I really like the information and knowledge you give us.
I just bought the AI writing assistant chat bot. I can not do folders. II can not do that stuff on the left siide. I'm paying $14.99 a month. Which cat bot should I be using for this.
Can one link this to a local LLM like Ollama to reduce the costs?
Hi Dave, thanks so much for this very good video. One question. just wondering about privacy and if information written in our documents are passing to OpenAI while using its APIs. Good part of data are also going to a third party on cloud service such as Pinecone. How can we ensure the privacy of our personal data, while using Flowise or similar services that make use of external API?
Curious too
I am getting an error while using flowise - ErrorWithoutStackTrace: PineconeClient: Error getting project name: SyntaxError: Unexpected token A in JSON at position 0. Tried to cross check but not sure what is going wrong. Could yo please help?
Hello Dave, I am asking here as this is your latest video, I have seen your videos regarding Langchain, I am curious how to optimize inference while using LLMs in Langchain using TensorRT or Onnx Runtime... As in Industries, It's very obvious, to save the time as well as computation cost... In TensorRT while using open source models, we have techniques like quantization and a few more more for that... So In Langchain is there any way to do this?
Thanks for the great content! If I have big pdf files isn't it will get pricy?
This is the hardest tutorial I've ever seen. It's not a step by step.
damn flowiseal put me on a waiting list.
Thanks, this is amaizing!! do you know if there is an alternative to Pinecone since it has the waitlist in place?
I'm also on the Pinecone waiting list. Do we have any other options other than Pinecone? Thanks
Love it. Thanks for making these videos. This seems great to slap some components together then go in and have a lot of the code roughed in so it could be worked on from there. Is that an accurate assumption?
Excatly
Hey there. Love the content. One comment if I may. Maybe show us in the begining a glimpse of 10 sec how the end looks like. then continue with the video😊
Thanks for the tip!
I clicked on the docker folder and ran 'npx flowise start' in the terminal and it worked fine. Already made a chatbot
What are the costs to use it?
Hii Great video! Please I have an issue using flowise to chain with my notion database ( I embedded Google sheet in my notion) but my bot can’t answer questions about info in my google sheet, please what am I doing wrong ?
tnx for info.... can u help me understand the differencebetween there two Artificial Intelligence & artificial intelligence solution !!??
cuz i want to choose a university bachelor's degree???
and what do you think i should learn?? ML /// deep learning/// python //data analyst //data science...... ???? TNX
This is pretty cool. How could we use this to chat with whole databases full of records instead of just a single file at a time?
I would like to train a large language model to evaluate scientific publications, specifically regarding research, based on its adherence to the scientific method.
Do Flowise have any intellectual property over your data if you make a chatbot with them and train the model yourself?
once ive made my bot, how can i get the bot online so its not just accessible from my laptop using the embed function to connect it to my site but then it only works on my laptop
How does it deal with the structure of a PDF? For example, if I have a Table with CAS numbers in the format 1234-56-7. Usually, I can use Regex to extract these patterns however what if the text is contained in a table column and broken by a carriage return or just generally by the structure of the document?
e.g.
123-
45
-6
In a single column.
It seems that the text file generated will not keep this text together. This is a frequent issue I run into when extracting data.
Like your videos! Subscribed! Just wish you'd ditch the background music.
Can you add custom prompts?
What happens when you ask unrelated questions ?
What about the data privacy? Where does your document go?
it keeps saying this for me: * error decoding 'ports': No port specified: : how do i fix that?
After watching several times it looks like I might need to be a developer or software writer to complete this. Are any others in this thread totally new to A.I. and have made a complete chat bot ? Does The material loaded become public ?
Awesome video. After watching I'm trying to go a step further and use pinecone with ConversationalRetrievalQA with langchan Js directly. I'm getting a response for the query, however for some reason the buffer only always stores the latest messages. The history of messages is never stored so I cant build on prev messages. Do you have any example for successful implementation?
I build with flowise and I believe it was aware of the whole conversation. Maybe something to do with the setup
Great work! Do you know whether there is a limit to how big the PDF file can be? ie. could it be a pdf book? thanks for your help
I tried a PDF book that is over 2M, about 300 pages, and it worked fine.
@@markryan2475 wow, thanks. i'm trying to understand how that affects costs. the bigger the pdf, the more the OpenAI api would charge me? or does the OpenAi only charge by the size of the response? 'appreciate the insight
The PDFs are split up into chunks of for example, 1000 tokens. So it does not affect your OpenAI API costs. This video gives a more in-depth explanation of how this all works under the hood: th-cam.com/video/NYSWn1ipbgg/w-d-xo.html
@@daveebbelaar /thanks so much
@@daveebbelaar Thanks a lot!
Very cool video. Content and video quality
multiple pdf learning also available?
Hi, Can you please advise how to use the Folder Path in "Folder with Files" document loader. I've deployed the Flowise app on GCP as docker image. Thanks
What VSCode theme are you using? Looks great!
Atom One Dark 🔥
Nice and extremely useful video Dave… how can I use a website as the source?
This allows for updates to immediately be available and we don’t have multiple locations of our data items.
I have particular websites Not wanting the whole web. It will use these particular websites as it’s data source for conversion with memory. Help? And thanks again.
I tried your exact workflow on windows and on mac, but never been able to get it going. On mac all i got was 'Error: Error: Error: ENOENT: no such file or directory, open'
Great video :) Keep up the great work.
Thanks 🙏🏻
This is so impressive. Thank you.
thanks for this great tutorial, am frontend developer so how can i build SAAS on this?
Nob question: How is this different from building it on Botpress?
Is docker free, and will the server be on while my computer is turnt off?
You know your stuff. But I am struggling to follow this to replicate its a lot of detail.
Hi Dave, question. A lot of documents I want to upload have images meaningful to the subject. Is there already a way for AI to take these into account when chatting to a document?
I think that ability is coming with a new iteration of GPT4, right now this functionality is in testing
multiple pdf, docs at same time ?
We have so many videos like this
Can't you try showing how to get both video and text as answer for questions based on pdf document
I followed all the steps to the end. I uploaded the text file, ran to the chat, and asked it questions. All I received back were error messages such as "Error: Request failed with status code 429"
Me too. It's coming from Open AI and it says I'm exceeding my current request quota. I'm on the OpenAI free tier which allows you only 3 requests a minute. So I'm wondering if that's the problem. But when I look at the analytics for my account it doesn't show any requests.
@bwp2bruce did you figure out what the problem is?
@Curious.Gamer. Did you figure out what the problem is?
@@lancerkind Eventually yes, but I'm not going back to that to recall the steps.
I get the following error message when I try to chat to bot: Error: Error: Error: ENOENT: no such file or directory, open ''
Is there any idea why?
Unfortunately doesn´t work for me. It always responds with "Hmm, I´m not sure".
any way to get around the Azure OpenAI key requirement
Thanks for the video, it's very useful. Is it possible to integrate a voice assistant that receives a question as input and answers via voice, using the information in the pdfs? It would be very useful. What do you think about it?
Yep, that's possible. Look into the speech services from Google or Microsoft.
Any idea how to make this work with spanish? I uploaded a Q & A text file but the bot only answers in english
Good video Dave, thanks!
Thanks Hans!
An addition to the setup if (a) you are running on Apple silicon (i.e. M1 or M2) and (b) you want to use Docker compose.
When I first went to the docker setup and issued the command
$ docker-compose up -d
It the docker container for flowise failed to start because the platform was not specified.
The solution is to add the platform specification line to `docker-compose.yml` immediately after the line `image: flowiseai/flowise`
My file now looks like this:
```
version: '3.1'
services:
flowise:
image: flowiseai/flowise
platform: linux/amd64
…
```
i had to comment it out to work on my m2 machine
i am facing this error:
failed to register layer: error creating overlay mount to /var/lib/docker/overlay2/9555cbe6b3c5967b87e6f4087726e8ee62a5892e9779da373312c1e63e4a8b3d/merged: too many levels of symbolic links
can you please help me
TypeError: Cannot read properties of undefined (reading 'startsWith')
Very cool, thanks!
I tried to do the same with some (large-ish) PDF's but I'm getting `InsufficientQuotaError: 429` from OpenAI ;-(
hi. please help me. how to create custom model from many pdfs in Persian language? tank you.
I am stuck at this error: docker-flowise-1 | Error: ENOENT: no such file or directory, mkdir. Any ideas?
Dont use Docket just directly run this in your local with npm install -g flowise
@@Siva-en9sw thanks! I figured that out earlier and now it works using npm 👍🏽
@@dheerajsachdeva5735 glad to hear this welcome to the confusion club 😁
I follow you but I get this error Error: Error: Error: ENOENT: no such file or directory, open ''. Can you help me fix it?
Very cool! Many thanks!
I need troubleshooting assistance. I csn get everything connected...independently openai will respond. When i link pinecone...it will receive the vectors from the pdf when connected...but he dumb ass assistant when asked about the document says hmmm i dont know! 😅 is ir the splitter overlap...its a larger pdf...i do legal work so its case law in trying to load and ask questions
Flowise is not stable. as I testing, put API keys, however can't work
Its actual 16 minutes. For starters probably 45 min. Still amazing.
I'm getting this error everytime: ReferenceError: Blob is not defined
Error: Error: Error: ENOENT: no such file or directory, open , any idea how can I solve this error ?
can we add system message in query
Great tutorial however i have an issue with it. I did everything like you said but when i use the chat it is just searching for an answer and doesn't actually give one, it just lags for a long time. I don't understand why could someone help me?
Okay guys i found a soluton so i'm going to post it here in case someone needs it : you need to put your credit card in openai otherwise the api key wont do its job.
@@alexandred6907 he said that in video.
Hello, 🎉 great content! I would like to request a video on a solution for chatting on PDFs using an open-source model from Hugging Face that utilizes GPU and ensures data privacy.
i wonder if you could get flowwise to show its generated python code
I keep getting the following error: anyone know how to solve?
PineconeError: Failed getting project name. Error: Forbidden - Invalid API key
Don't know why but my pdf was of 818 pages and it wasn't working accurately as I was expecting it to work