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FlowiseAI

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FlowiseAI is an open-source UI visual tool built with LangchainJS, allowing users to easily create customized LLM (Large Language Models) apps using Node Typescript/Javascript, and it supports Docker for deployment

FEATURES

  • 💻 Open Source: FlowiseAI is an open-source tool with an MIT license, which means it is free for commercial and personal usage.
  • 🚀 Build Fast: FlowiseAI provides a visual tool to build customized LLM flows using LangchainJS, written in Node Typescript/Javascript, allowing users to see their LLM apps running live.
  • 🧩 Extensible Component: FlowiseAI offers custom component integrations, making it an extensible tool.
  • 🌐 Language Translation Chain: FlowiseAI provides a language translation using LLM Chain with a Chat Prompt Template and Chat Model, allowing users to create conversational agents with memory.

USE CASES

  • 🌐 Open Source: FlowiseAI is built on an open-source MIT license, allowing for free commercial and personal usage.
  • ⚙️ Build Fast: Users can see their LLM apps running live and build customized LLM flows using a visual UI tool written in Node Typescript/Javascript.
  • 🧩 Extensible Component: FlowiseAI allows for custom component integrations, enabling users to connect different components like PDF loader, OpenAI Embeddings, and Pinecone vector database to build their own ChatGPT on their own documents without any code.
  • 🤖 Conversational Agent with Memory: It offers a conversational agent for a chat model that utilizes chat-specific prompts and buffer memory.
  • 🚀 Docker Support: FlowiseAI supports Docker, allowing users to spin up a Docker for their applications.

ADDITIONAL INFO

Location
USA
Employees
1 - 10

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FAQ

FlowiseAI is a low-code/no-code drag & drop tool that allows users to visualize and build LLM (Language, Logic, and Memory) apps.
The purpose of FlowiseAI is to make it easy for people to build LLM apps without needing to write code.
To build a customized LLM flow using FlowiseAI, you can use the drag & drop UI to create your flow. You can also watch an introduction & setup tutorial on Flowise. .

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