FlowiseAI
Open source Low-Code LLM development platform
Flowise uses low-code approach that enable developers to manage the whole lifecycle of building LLMs apps in production. From protoyping, evaluation, to iterations.
Active Founders
Company Launches
☕️TL;DR
Flowise is an open source drag & drop tool to build your customized LLM flow.
We provide a visual interface to let you build backends for LLM apps used for QnA, summarization and analysis on your own data.
👋 This is Henry and Yau, co-founders of Flowise. We’re on a mission to make it easy for people with no-code background to learn and build AI apps.
🤔 Problem
Recent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?
✨ Solution
Just like LEGO🧩, Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents. You learn as you build!
⚙️ How it works
Chatflow
Drag & drop any component to the canvas and interact with it in real-time.
API/Embed
Use the flow as an API or embed into your application.
Tool
Create your own tool and let agent automatically use it. For instance, get stock prices and add it to Airtable/Gsheets.
Extensible
Flowise is built to be extensible. Developers can easily customize their integrations by using libraries/frameworks such as LangChain, LlamaIndex, HuggingFace, etc.
🙏Ask
- Star Flowise Github and let us know what you’d like us to build next
- Follow us on Twitter to keep up with the latest updates
- Hop into our 2k+ Discord community
- We want to offer cloud-hosted solution, let us know your thoughts!
🚩 We just crossed 10k stars on Github!
YC Sign Photo
Hear from the founders
How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)
Back in Feb 2023, we've been building apps using open source frameworks like LangChain, HuggingFace, etc.We wanted a quicker way to build prototype without having to write repetitive code. We also want a better visualization of the whole LLM flow.Hence, the idea of Flowise was born.
What is the core problem you are solving? Why is this a big problem? What made you decide to work on it?
Recent advancement of large language models like ChatGPT is revolutionizing every industry. But how do people from less tech-savvy background be able to learn it, and use it for their own use cases?This is why we made Flowise just like LEGO🧩. Flowise let you connect different components like PDF loader, OpenAI Embeddings, Pinecone vector database and build your own ChatGPT on your own documents, without any code. You learn at the same time as you build!
Selected answers from FlowiseAI's original YC application for the S23 Batch
Describe what your company does in 50 characters or less.
Open source UI visual tool to build LLM apps
What is your company going to make? Please describe your product and what it does or will do.
Flowise enable people to build custom LLMs apps on their own data with drag & drop interface without having to write the code.