Low-Code RAG and Multi-Agent AI Development
Langflow is a powerful open source tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
Langflow allows Python customization at any point in the workflow. Users can develop custom components, use Python under the hood, and maintain full control over complex logic while retaining visual workflow benefits.
Langflow enables users to choose from hundreds of pre-built flows and components, share flows with teams, and deploy on a collaborative cloud platform. Visual state flows and reusable components reduce duplication and accelerate team development.
Langflow's Playground enables interactive testing of flows without building the full application stack. Users can run individual components in isolation and get immediate feedback on logic and response generation.
Langflow supports hundreds of pre-built integrations including OpenAI, Anthropic, Groq, vector databases (Pinecone, Weaviate, Milvus), and data sources (Google Drive, Slack, Notion). Users can swap and compare models without code changes.
Langflow provides a visual drag-and-drop editor to create AI workflows in minutes, with pre-built components for agents, LLMs, and vector databases. Users can deploy flows as APIs on a free enterprise-grade cloud platform, eliminating infrastructure setup.