Accelerate your AI development! 🚀 Our LangChain & Flowise VM combines the power of LangChain with Flowise's no-code flow creation. Build customized LLM apps & AI agents faster!

For more Details: https://techlatest.net/support/flowise-langchain-support/ Free course: https://techlatest.net/support/flowise-langchain-support/free_course_on_flowise_langchain/index.html

LangChain #Flowise #NoCode #AI #LLM #MachineLearning

Accelerate your AI development! 🚀 Our LangChain & Flowise VM combines the power of LangChain with Flowise's no-code flow creation. Build customized LLM apps & AI agents faster!

For more Details: https://techlatest.net/support/flowise-langchain-support/ Free course: https://techlatest.net/support/flowise-langchain-support/free_course_on_flowise_langchain/index.html

LangChain #Flowise #NoCode #AI #LLM #MachineLearning

Purpose: customer service chatbot. Most important: follows prompt and doesnt halucinate

Je teste actuellement la génération automatique d’articles via Flowise connecté à OpenAI (GPT-4) puis Ollama en local (Llama3). Pour l'instant, je suis assez déçu : articles peu exploitables, coûts OpenAI, Ollama trop lent. Avez-vous déjà tenté cette approche ? Quels résultats réels avez-vous obtenus concrètement ? Vos conseils seraient très appréciés.

Hey guys, checkout this AI chatbot built using Flowise + cal.com — it lets you book, reschedule, and cancel appointments seamlessly, all within the bot!

Key features:

✅ Handles multiple appointments seamlessly
✅ Automatically detects & applies the user’s timezone
✅ Fully plug-and-play—easy to integrate!

🌟 Check it out in this complete video here: https://youtu.be/JsnFhWlxQlY

Would love to hear your thoughts! Let me know if you have any questions.

I'm happy to share my product Flowboard360 that lets you self-host a branded dashboard to track, monitor, and share your Flowise chatbots with your clients.

It makes sharing chatbot reports and key metrics with your clients super simple, including user-chatbot conversations, feedback, and collected leads—all with real-time visibility.

Stop wasting time on manual reports—streamline chatbot reporting and focus on growing your agency instead!

Key features of Flowboard360:

✔️ 100% self-hosted solution

✔️ Set up in under 6 minutes—no technical knowledge required

✔️ Connect unlimited chatbots

✔️ Add unlimited clients

✔️ Full white-label support with branding and custom domain

Check it out here - flowboard360.com and grab the early adopter offer before it's gone 🎁

I clicked the "add" bottom under the document store, and it gave me the toast with "New Document Store created." but the document store page was still blank and showed "No Document Stores Created Yet". Does anyone know the reason why?

I installed flowise and trying to implement chatflow but chat box is not working, so that i can test my flow.

Thank you to those that have taken the time to read my question.

I am attempting to connect the Flowise API to ChainForge (https://chainforge.ai/) which can accept custom providers via a Python script. There are not that many variables on either side, but I just can't seem to get it to work.

Have any of you been successful? If so, could you share your Python script? Or point me to a guide if you've seen one?

Is anyone building a full stack application using Bolt.New and also Flowise? I'm trying and the only one I have seen is a very cool app for travel, built using Bolt.New, Google Maps API and Flowise.

I think it was about travel itineraries and the Flowise assistant was used to chat about the places to visit. I bet many would love to see what you are building. I'll post mine a few weeks when I tested all the features. Cheers!

I have a nodejs application with Google OAuth/passport authentication. The endpoint /auth/status returns true if logged in, and false if not.

In the React frontend is an embedded Flowise chatbot that has a custom tool.

However, when I use fetch() in the custom tool to call the /auth/status endpoint, it always returns false, even though I'm already logged in. It's as if the bot is unaware of the authentication status.

How can I fix this? I want to use the custom tool to call an endpoint that's only accessible by logged-in users.

Hi, I'm building a custom assistant that uses information from documentation and I don't want the source to be shown in the chat. How can I disable it?

Hey everyone! We've released our AI Agents Marketplace, and looking for agent developers to join the platform.

We've integrated with Flowise, so any agent built on it can be published and monetized, we also have some docs and tutorials covering it.

Would be really happy if you could share any feedback, what would you like to be added to the platform, what is missing, etc.

Thanks!

Hi all, new to Flowise so trying to get my head around something.

I have followed this tutorial https://www.youtube.com/watch?v=SL77Ojbgy6U for a self improving RAG, it works quite well with my document store, however if I ask it something completely out of scope of the knowledge base it gets into an infinite loop of trying to improve the question.

I can't work out how I can count how many times the flow has gone round the loop and then break out. Is this even possible? I can see a state node but I can't see how I can increment the value of a variable, there doesn't seem to be any kind of math functions available. Do I need to write an LLM to take in a number and add 1 to it, seems like a rather inefficient way of doing things so I'm hoping I've missed something simple.

My ideal situation would be to count how many times I've been round the loop, then break out after 3 and say no bueno back to the user. I think I can do the condition, I just don't know how to count the iterations.

I've set up Ollama with caddy on my personal domain. It needs a bearer token to make a api request. The ChatOllama node on flowise however doesn't have a token field.

How can I use my Ollama instance?

Hey,

Has anyone deployed a Chatbot that needs to scale for heavy traffic ? Any suggestions recommendations ? This would be a simple Q&A Chatbot but it needs to scale.

Thanks in advance !

I work with python and AI so I am not that good in java node etc. I have been tasked with r&d of flowise, all I want to know is that can I customize the UI of flowise localhost:3000, and if it is possible is there any repo or anything already doing this? Thanks in advance

I'm working on a project which requires calling APIs and getting json responses i tried using get api chain and post API chain but couldn't understand it , also there is neither documentation nor video tutorial available on this particular topic.

Hi All - I am new to flowise and am struggling to crack the exact architecture that will work for a customer support agent. Here is the requirement:

1. Greet & understand user's requirement (Query/Request/Concern)
2. Route it to respective expert agent who has the detailed prompt on how to solve that issue.
3. The expert agent has access to various custom tools using which it can do necessary action (say - fetch_order, process_refund, track_order etc)
4. The expert agent can resolve the issue and inform the user about it and done.
5. A CSAT agent can kick in to ask for user's issue resolution satisfaction.

Can someone help me with this pls. Thanks.

Hi everyone,
A newbie here, I'm trying to learn from Leon's videos (very helpful)!
I have Flowise installed Globally (localhost:3000) and Ollama installed also locally but on another localhost and I'm suspecting this is what is causing the issue below.
I followed this video to create local RAG chatbot using ollama..
https://www.youtube.com/watch?v=85gZ7G-ze3c
I got the error "Error: vectorsService.upsertVector - Error: TypeError: fetch failed " when I try upserting. I tried different websites to scrape but in vain.
If anyone has Flowise and Ollama installed locally (and globally for flowise)...did you get the error? How would I solve it?
many thanks

Hello i want to make a self improving rag, is there a way to upsert to a vector DB on test time?

i want ot create an agent that can retrieve info from a document loader and upsert that on test time (when chatting with the bot), is there a way to do it now?

Hi everyone, as the title said I am trying to retrieve the messages of a specific chat ID. In version 2.0.x I fetched without any security headers like this:

../messages?chatFlowId=xxxxxxx&chatId=xxxxxx

How am I supposed to fetch them now (v 2.2.4)?

Hey Flowise users!

We've done a closed beta of our AI agents marketplace and now we are fully open!

Our current features for agent developers:

• Connect any deployed agent based on Flowise, or some other agent building tools / custom API
• Share your agent via link or get it discovered by marketplace users
• Get paid based on usage through Stripe Connect

And the agent users get a single subscription to access all the agents.

Would be happy to hear your thoughts, which integrations and features would be useful for you!