Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
a85546f5b2* Renaming data input to 'search results' Credit: @brian-ogrady * fix: Update document handling in NvidiaRerankComponent to use new Data model - Removed the import of Document from langchain.schema. - Updated the rerank_documents method to utilize the to_lc_document method for converting passages to the new Data model, ensuring type safety and consistency in document processing. This change enhances the integration with the updated data structures in the project. * refactor: Remove unused base_retriever output from NvidiaRerankComponent This change simplifies the output structure of the NvidiaRerankComponent by removing the base_retriever output, which was not being utilized. This refactor enhances code clarity and maintainability. * refactor: Rename output in NvidiaRerankComponent from 'search_results' to 'reranked_documents' This change updates the output display name and method in the NvidiaRerankComponent to better reflect its functionality, enhancing clarity in the component's purpose and usage. * refactor: Remove legacy flag from NvidiaRerankComponent This change simplifies the NvidiaRerankComponent by removing the unused legacy boolean flag, enhancing code clarity and maintainability. * refactor: Rename build_model method to build_reranker in NvidiaRerankComponent This change improves code clarity by renaming the method to better reflect its purpose, aligning with the component's functionality in the reranking process. * feat: Enable tool mode for search query input in NvidiaRerankComponent This change adds a new 'tool_mode' flag to the 'search_query' input in the NvidiaRerankComponent, enhancing its functionality and allowing for improved interaction with the component. This update aligns with recent refactors aimed at clarifying the component's purpose and usage. |
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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.