FlowiseAI is an open-source, low-code platform that enables developers to create customized LLM applications using a drag-and-drop interface, integrating various components like memory and data loaders. It addresses the complexity of building and deploying AI agents by allowing rapid iterations from testing to production without extensive coding.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying custom Large Language Model (LLM) applications and AI agents requires significant coding expertise and can be a complex, time-consuming process. Iterating from initial testing to production deployment often involves managing numerous integrations and configurations.
Solution
FlowiseAI is an open-source, low-code platform designed to streamline the creation and deployment of custom LLM applications and AI agents. The platform provides a drag-and-drop interface that allows developers to visually orchestrate LLM workflows, integrate various components such as memory, data loaders, and moderation tools, and rapidly iterate on their applications. By abstracting away much of the underlying code, FlowiseAI enables faster development cycles and simplifies the process of building AI-powered solutions, even in air-gapped environments with local LLMs. The platform supports integration with Langchain and LlamaIndex, along with over 100 other integrations.
Target Audience
FlowiseAI targets developers and teams looking to build and deploy custom LLM applications and AI agents more efficiently, including those working on product catalog chatbots, SQL database query tools, and customer support systems.
Features
- Drag-and-drop interface for visually building LLM orchestration flows
- Support for creating autonomous agents with custom tools and OpenAI Assistants
- Integration with Langchain and LlamaIndex
- Compatibility with open-source LLMs such as HuggingFace, Ollama, LocalAI, and Replicate
- Support for local LLMs including Llama2, Mistral, Vicuna, and Orca
- API, SDK, and embeddable chat widget for extending and integrating into existing applications
- Option for self-hosting on AWS, Azure, and GCP
- Ready-to-use app templates