mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-24 02:05:11 +08:00
e8529eaecb
* update to support dataframe * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes (attempt 2/3) * Update split_text.py * [autofix.ci] apply automated fixes * [autofix.ci] apply automated fixes * update names * Update src/backend/base/langflow/schema/dataframe.py Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> * [autofix.ci] apply automated fixes * update to template * update review changes * Update Vector Store RAG.json * fix lint errors * fix tests * 📝 (freeze.spec.ts): update test description to match the actual element being tested for better clarity and accuracy * ✨ (stop-button-playground.spec.ts): improve test reliability by specifying target position for drag action to prevent flakiness * ✅ (logs.spec.ts): increase timeout from 1000ms to 3000ms for better test reliability ✅ (stop-building.spec.ts): update test selector from "handle-splittext-shownode-data inputs-left" to "handle-splittext-shownode-input documents-left" for accurate testing ✅ (starter-projects.spec.ts): add a 1000ms timeout before asserting visibility of an element for better test stability --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Docs - Free Cloud Service - Self Managed
✨ Core features
- Python-based and agnostic to models, APIs, data sources, or databases.
- Visual IDE for drag-and-drop building and testing of workflows.
- Playground to immediately test and iterate workflows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Free cloud service to get started in minutes with no setup.
- Publish as an API or export as a Python application.
- Observability with LangSmith, LangFuse, or LangWatch integration.
- Enterprise-grade security and scalability with free DataStax Langflow cloud service.
- Customize workflows or create flows entirely just using Python.
- Ecosystem integrations as reusable components for any model, API or database.
📦 Quickstart
- Install with uv (recommended) (Python 3.10 to 3.12):
uv pip install langflow
- Install with pip (Python 3.10 to 3.12):
pip install langflow
- Cloud: DataStax Langflow is a hosted environment with zero setup. Sign up for a free account.
- Self-managed: Run Langflow in your environment. Install Langflow to run a local Langflow server, and then use the Quickstart guide to create and execute a flow.
- Hugging Face: Clone the space using this link to create a Langflow workspace.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.