What is Langflow?
Langflow is a low-code visual builder for creating and deploying AI agents, RAG applications, and MCP servers. It supports major LLMs, vector databases, and integrations through a drag-and-drop interface backed by Python customization. The tool is available as open-source software or through a cloud platform.
What are the features of Langflow?
- Visual flow builderDrag-and-drop interface to construct AI workflows using pre-built components and state flows.
- Python customizationAllows users to extend or modify any component using Python code.
- API deploymentConverts built flows into callable APIs via a cloud platform.
- Agent orchestrationRuns single agents or fleets with access to all configured components as tools.
- Component libraryProvides hundreds of pre-built flows and components for models, data sources, and vector stores.
What are the use cases of Langflow?
- RAG application developmentBuilding retrieval-augmented generation workflows by connecting LLMs to vector databases like Pinecone, Weaviate, Milvus, or Qdrant.
- AI workflow prototypingTaking complex product ideas and assembling them quickly through visual flows that can be shared and understood across teams.
Langflow Pricing Information:
- Open-source (OSS)Free; self-hosted version of the software.
- Cloud accountFree tier available for deploying applications as APIs on the vendor's cloud platform.









