Finally after a month of relentless trial and error, I've successfully created an AI persona bot emulating the teaching style of my mentor @abnux, the founder of @10kdesigners . Excited to share my journey in this twitter thread. 🤖🎨 "Sound on 🎙️🔊"
Trusted and used by teams around the globe
Iterate, fast
Developing LLM apps takes countless iterations. With low code approach, we enable quick iterations to go from testing to production
- $ npm install -g flowise
- $ npx flowise start
Chatflow
LLM Orchestration
Connect LLMs with memory, data loaders, cache, moderation and many more
- Langchain
- LlamaIndex
- 100+ integrations
Agents
Agents & Assistants
Create autonomous agent that can uses tools to execute different tasks
- Custom Tools
- OpenAI Assistant
- Function Agent
- import requests
- url = "/api/v1/prediction/:id"
- def query(payload):
- response = requests.post(
- url,
- json = payload
- )
- return response.json()
- output = query({
- question: "hello!"
- )}
Developer Friendly
API, SDK, Embed
Extend and integrate to your applications using APIs, SDK and Embedded Chat
- APIs
- Embedded Widget
- React SDK
Platform Agnostic
Open source LLMs
Run in air-gapped environment with local LLMs, embeddings and vector databases
- HuggingFace, Ollama, LocalAI, Replicate
- Llama2, Mistral, Vicuna, Orca, Llava
- Self host on AWS, Azure, GCP
Use Cases
One platform, endless possibilities. See some of the use cases
Product catalog chatbot to answer any questions related to the products
Pricing
Free 14 day trial. No credit card required.
Pro
For medium-sized businesses
$65/month
- Everything in Starter
- 50,000 Predictions / monththen $0.001 per prediction
- 10GB Storage
- Unlimited Workspaces
- Admin Roles & Permissions
- 3 Months Log Retention
- Priority Support
Community 🫶
Open source community is the heart of Flowise. See why developers love and build using Flowise
Flowise is trending on GitHub It's an open-source drag & drop UI tool that lets you build custom LLM apps in just minutes. Powered by LangChain, it features: - Ready-to-use app templates - Conversational agents that remember - Seamless deployment on cloud platforms
Using our new AI bot called Koos with @FlowiseAI to create project management tasks in Notion, right from Slack 🤯 Let me know who would like to see a 5min explainer on how we did this 🎉
Flowise just reached 12,000 stars on Github. It allows you to build customized LLM apps using a simple drag & drop UI. You can even use built-in templates with logic and conditions connected to LangChain and GPT: ▸ Conversational agent with memory ▸ Chat with PDF and Excel…
A multi-modal chatbot that effortlessly merges text and image generation into seamless conversations. 🚀 📢 Watch the demo with conversation starting with asking for advice on building strong financial habits (sped up slightly for demo) 🪄Chatbot magically generates a visual…
Create your first custom chatbot using LLMs in 5 min! No-coding required. We will use @FlowiseAI Join here to get the step-by-step tutorial and video tomorrow at 7 a.m. ET: nocode.ai
Flowise is seriously impressive. Not only for quickly building and deploying LLM apps, but for visualizing chains
Thanks to @FlowiseAI & @LangChainAI, it's so easy to create Telegram Bot that capable of getting real-time bus info (location & speed) from GPS device. Plus more functionality to calculate distance, duration & presenting map to user. @OpenAI Function Calling is awesome too 👍
If you are building in AI and not using @FlowiseAI - you are seriously wasting your time. It's like Figma but for backend AI applications. Design & test your entire stack in less than an hour. Even test MVP. Build to industrial scale with the exported output.
Chatea Gratis con tus PDF sin código !!! En este hilo te muestro como crear un chat gpt personalizado sin una linea de código que puedes incluir en tu web Usamos @FlowiseAI que es una increíble herramienta para crear aplicaciones LLM con #nocode. Empezamos🧵
Webinars
Learn how to use Flowise from different webinar series with our partners
Enterprise
Looking for specific use cases and support?
