IMPORTANT: Forgot to mention this, but you need to add disk persistence in Render otherwise projects disappear if it crashes or reboots. Watch this video at 8:25 - kzbin.info/www/bejne/fKnclGljm9eaqKssi=GP02-S-PtFlRNg7z&t=505 👉 Want an AI chatbot built for your business? Visit omnifusion.ai
@Mark_Kashef3 ай бұрын
This video is heavily underrated, I literally used it to crash course Flowise for a project. Awesome job guys 🙏🏻
@OmniFusionAI3 ай бұрын
Glad you enjoyed it Mark, appreciate your feedback G!
@changtimwu17 күн бұрын
Thanks! Finally, a practical RAG example for Flowise has emerged. Surprisingly, Flowise hasn't provided a serious typical RAG example before. The official examples using an in-memory vector store are entirely unhelpful.
@OmniFusionAI12 күн бұрын
Glad it helped!
@sirishkumar-m5z11 күн бұрын
With Flowise, anybody can create and implement AI chatbots. For those wishing to incorporate AI into their company, it's a vital tool. #Flowise #AIChatbots #TechSimplified
@OmniFusionAI11 күн бұрын
True
@jesse.barbato3 ай бұрын
🐐🔥 AI Goats
@alexandraholler2655Ай бұрын
Hi, the tutorial is awesome but can you tell me, how I can customize the colors of the links in the bot chatbubble? I have a dark chat bubble and the links are kinda black/dark blue. Any idea? Greetings from Austria Alex
@OmniFusionAI25 күн бұрын
You can change the CSS in the code of the Flowise chatbot or you can integrate it into Voiceflow for example if you want to use a different frontend to customize with no code.
@r.lemesh2 ай бұрын
Fantastic video! What do you think about Langflow builder? Is it better than Flowise or not?
@OmniFusionAI2 ай бұрын
Limited experience with it but I think flowise is top of the line.
@xaycent7832Ай бұрын
Hey just a question, im new to these stuff. Is there a limit for how many messages or conversations the bot can have?
@OmniFusionAIАй бұрын
No, you just need to make sure your hosting (in this case Render) supports the volume you are trying to do, and if necessary scale up hosting resources. Also OpenAI needs to be funded so that you don't hit your usage limits. But you need a lot of conversations to hit that.
@aditya-y6h10 күн бұрын
How long does Flowise take to grant access since they have put me on a waitlist
@OmniFusionAI5 күн бұрын
The waitlist is only for their hosted version. Watch this video, I show how to self host from github.
@Noirteclabs2 ай бұрын
Hi I copy everything step by step but when I try to chat with agent I get "Error: Forbidden"?
@OmniFusionAI2 ай бұрын
Some api key may not be setup correctly. Either OpenAI or qdrant
@Noirteclabs2 ай бұрын
@@OmniFusionAI Yes. all working now thanks for the fast response 👍
@prettyflyforanAIguy3 ай бұрын
If I deploy using the starter pack (512 mb ram and 0.5 cpu), how many chats will that set up be able to handle? Can you please give me ballpark estimations on: 1 - The max number of concurrent chats that it can handle and 2 - The max number of chats it can handle in a month assuming none of the chats are concurrent?
@OmniFusionAI3 ай бұрын
I'd say the starter pack should not be used in production. 512mb RAM is very low. We personally use 2GB RAM and it can handle multiple client projects with hundreds of msgs a day. Might also be worth looking into Digital Ocean as an alternative to render. 2. If the chats are not concurrent it really doesnt matter bc the RAM is only affected by whatever is happening at a given time.
@prettyflyforanAIguy3 ай бұрын
@@OmniFusionAI That makes sense, thank you!
@hadgt92 ай бұрын
I see a "Message Stopped" error - any idea how to solve?
@OmniFusionAI2 ай бұрын
Double check qdrant and openai api keys. Personally haven’t experienced that error
@Skandawin782 ай бұрын
too much info packed in a single video. Works beutifully,. But the chatbot hallucinates some of the answers even after instructions not to hallucinate.
@OmniFusionAI2 ай бұрын
I find a lot of people prefer a single video to learn compared to finding lots of small ones. If it hallucinates, turn down the temperature 🤝
@Skandawin782 ай бұрын
@@OmniFusionAI thanks for the response. Did that, temp is 0.3 but still bring up unwanted stuff. Also replaced buffer window with a upstash redis memory. This helped in increasing the context window . But hallucination has not stopped :(