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.
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?
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!
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.
🚩 We just crossed 10k stars on Github!
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.
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!
Open source UI visual tool to build LLM apps
Flowise enable people to build custom LLMs apps on their own data with drag & drop interface without having to write the code.