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Open source GenAI 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.
FlowiseAI is an open-source platform to visually build and deploy AI agents and LLM-powered workflows. It enables multi-agent orchestration, chat assistants, and human-in-the-loop feedback with enterprise-ready deployment options.
Flowise provides modular building blocks for constructing agentic systems, including multi-agent workflows, single-agent chatbots with tool calling and RAG from various data sources, and human-in-the-loop feedback. It offers a developer-friendly API, SDKs, and embedded chat capabilities, plus enterprise-scale deployment across cloud and on-premises environments, with observability support and integration with 100+ LLMs, embeddings, and vector databases.
Who itβs for: Individuals and teams building AI agents and workflows, from solo developers to small teams and medium-sized businesses that require scalable, deployable GenAI solutions.
Customers: UneeQ, QmicQatar iFleet, BTS Digital
Active community and open-source ecosystem; customer success stories; pricing tiers and free starter offerings; multiple product features and integrations indicate traction and active development.
An open source drag & drop tool to build your customized LLM flow
Flowise is an open source drag-and-drop tool for building customized LLM workflows, offering a visual interface to create backends for Q&A, summarization, and data analysis using components like loaders, embeddings, and vector stores. It targets users with no-code backgrounds and enables building API-enabled flows and tools to integrate into applications.
From the original launch (Jul 2023) β may be outdated.
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