Flowise just reached 12,000 stars on Github. It allows you to build customized LLM apps using a simple drag & drop UI. You can even use built-in templates with logic and conditions connected to LangChain and GPT: Conversational agent with memory Chat with PDF and Excel

Learn about all available integrations / nodes in Flowise. In Flowise, nodes are referred to as integrations. Similar to LEGO, you can build a customized LLM ochestration flow, a chatbot, an agent with all the integrations available in Flowise.

By themselves, language models can't take actions - they just output text. Agents are systems that use an LLM as a reasoning engine to determine which actions to take and what the inputs to those actions should be.

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Learn how to deploy Flowise on Hugging Face

Enterprise plans have separate repository and docker image. Once granted access to both, the setup is the same as Setup 1.Before starting the app, enterprise users are required to fill in the values for Enterprise Parameters in the .env file. Refer to .env.example for the required changes.. Reach out to [email protected] for the value of following env variables:

Welcome to the official Flowise documentation. Flowise is an open source low-code tool for developers to build customized LLM orchestration flows & AI agents.