fecd2b5598* add a unified local vector store * [autofix.ci] apply automated fixes * fixed lint Error * [autofix.ci] apply automated fixes * Update src/backend/base/langflow/components/vectorstores/local_db.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * refactor: Enhance type hints and clean up imports in LocalDBComponent - Added type hints for the `update_build_config` method parameters and return type. - Removed unused import of `override`. - Cleaned up the `build_vector_store` method by removing the import error handling for `Chroma`, as it is now assumed to be handled elsewhere. * test: Add unit tests for LocalDBComponent functionality - Introduced comprehensive tests for the LocalDBComponent, covering database creation, data ingestion, similarity search, and duplicate handling. - Implemented fixtures for default parameters and collection mappings. - Verified the behavior of various search types and ensured correct handling of duplicates. - Added tests for configuration updates and listing existing collections. * feat: Implement equality comparison for DataFrame class - Added an __eq__ method to the DataFrame class to handle comparisons with empty DataFrames and non-DataFrame objects. - Ensures that empty DataFrames and empty lists are treated as unequal, improving the robustness of DataFrame comparisons. * Update local_db.py * [autofix.ci] apply automated fixes * removed data output * [autofix.ci] apply automated fixes --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Edwin Jose <edwin.jose@datastax.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org> Co-authored-by: Ítalo Johnny <italojohnnydosanjos@gmail.com> |
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Langflow is a powerful 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.
✨ Highlight features
- Visual Builder to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ 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.