Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
fda2f17a9f* 📝 (faiss.py): import Path and List modules for better type hinting and file path handling 🐛 (faiss.py): fix issue with building vector store when persist_directory is not provided 🐛 (faiss.py): fix issue with loading FAISS index when index file does not exist 📝 (faiss.py): add type hints for search_documents method parameters and return value 📝 (faiss.py): remove unnecessary logging statements from search_documents method * [autofix.ci] apply automated fixes * 📝 (faiss.py): add 'required' flag to the 'Persist Directory' input field to ensure it is mandatory for the user to provide a value * 🔧 (faiss.py): refactor build_vector_store method to handle persist_directory more efficiently 🔧 (faiss.py): refactor search_documents method to handle persist_directory more efficiently * [autofix.ci] apply automated fixes * 🔧 (faiss.py): refactor get_persist_directory method to return resolved persist directory path or current directory if not set ♻️ (faiss.py): refactor build_vector_store and search_documents methods to use get_persist_directory method for path resolution * ♻️ (faiss.py): refactor resolve_path method to be static and return a string instead of Path object for consistency and clarity --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> |
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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.