Flowise

Flowise - Low code LLM Apps Builder

Open source low-code tool for developers to build customized LLM orchestration flow and AI agents

Screenshot for Flowise - Low code LLM Apps Builder

Flowise Introduction

Flowise: The Open-Source Low-Code Platform for Building LLM Apps

Flowise is an open-source, low-code platform that empowers developers to build and customize LLM (Large Language Model) applications with ease. Flowise simplifies the process of creating powerful AI agents and complex LLM workflows through its intuitive drag-and-drop interface.

LLM Orchestration Made Easy

Flowise excels in simplifying LLM orchestration. Developers can seamlessly connect LLMs with essential components such as memory, data loaders, cache, moderation, and over 100 other integrations. This allows for the creation of sophisticated AI applications that can access and process information from various sources. Flowise supports popular LLM frameworks like Langchain and LlamaIndex, providing flexibility and a wide range of options for developers.

Build Powerful Agents & Assistants

Flowise empowers developers to build autonomous agents capable of performing complex tasks using a variety of tools. Whether it's creating custom tools, integrating with OpenAI Assistant, or developing function agents, Flowise provides the building blocks for crafting intelligent agents that can automate tasks and improve efficiency.

Developer-Friendly Ecosystem

Flowise offers a developer-friendly ecosystem with APIs, SDKs, and embedded chat capabilities, making it easy to extend and integrate AI capabilities into existing applications. This allows developers to leverage Flowise's power and flexibility in their projects, regardless of the tech stack.

Open-Source and Platform Agnostic

Flowise's commitment to open-source allows developers to run it in air-gapped environments using local LLMs, embeddings, and vector databases. This platform-agnostic approach ensures flexibility and control over the development environment. Flowise supports a variety of open-source LLMs, including those from HuggingFace, Ollama, LocalAI, and Replicate, giving developers access to cutting-edge language models.

Rapid Iterations for Faster Development

Flowise understands the iterative nature of LLM app development and facilitates rapid iterations with its low-code approach. This enables developers to quickly move from testing to production, accelerating the development lifecycle and reducing time-to-market.

Use Cases Across Industries

Flowise's versatility is evident in its wide range of use cases. From product catalog chatbots that provide instant answers to SQL database query tools and customer support agents, Flowise can be used to build AI solutions for various industries. Its ability to handle structured data and integrate with existing systems makes it an ideal choice for businesses looking to enhance their operations with AI.

Vibrant Community and Support

Flowise boasts a vibrant open-source community that is actively involved in its development. This active community provides valuable support, resources, and inspiration to developers using Flowise. The platform also offers webinars and tutorials to help users get started and explore its full potential.

Summary

Flowise is a powerful and versatile low-code platform that simplifies the development of LLM applications. Its open-source nature, platform agnosticism, and intuitive interface make it an ideal choice for developers looking to build the next generation of AI-powered applications. Whether you're building chatbots, AI assistants, or complex LLM workflows, Flowise provides the tools and resources to bring your vision to life.

Flowise Frequently Asked Questions

  • What is Flowise?

    Flowise is an open-source low-code platform for developers to build customized LLM orchestration flows and AI agents.

  • What are the main features of Flowise?

    Flowise offers features like LLM orchestration, agent and assistant creation, API, SDK, and embed options, and support for open-source LLMs. It allows connecting LLMs with memory, data loaders, cache, moderation, and more.

  • Which companies are currently using Flowise?

    Flowise is trusted by teams at AWS, Alibaba Cloud, Hitachi, ByteDance, Microsoft, InsightSoftware, Google, Accenture, and ERoad.

  • How fast can I iterate using Flowise?

    Flowise's low-code approach enables quick iterations, allowing you to move from testing to production rapidly.

  • Is Flowise compatible with other LLM tools?

    Yes, Flowise is compatible with Langchain, LlamaIndex, and offers over 100 integrations.

  • Can I use open-source LLMs with Flowise?

    Yes, Flowise supports open-source LLMs like HuggingFace, Ollama, LocalAI, Replicate, Llama2, Mistral, Vicuna, Orca, and Llava. It also allows self-hosting on AWS, Azure, and GCP.

  • What are some use cases for Flowise?

    Flowise can be used for building product catalogs, product descriptions, querying SQL databases, customer support systems, and working with structured data.

  • How can I learn more about Flowise?

    You can learn more about Flowise by exploring their documentation, joining their Discord community, watching webinars, or reaching out to their team directly.

  • Does Flowise offer enterprise support?

    Yes, Flowise offers enterprise support for specific use cases. You can contact their team for more information.

  • Where can I find the source code for Flowise?

    Flowise is an open-source project available on GitHub. You can find their repository by searching for 'FlowiseAI/Flowise' on GitHub.