Mendon Kissling 2bbb0f5838 docs: clean up and test deployment documentation (#6029)
* docs: correct spelling and formatting in Docker deployment guide

* HuggingFace Spaces deployment documentation

* docs: simplify introduction for HuggingFace Spaces deployment guide

* docs: Update Kubernetes deployment documentation with comprehensive improvements

- Enhance Langflow Kubernetes deployment guide with clearer instructions
- Improve formatting, add more precise configuration examples
- Update service names, port forwarding, and scaling configuration details
- Add more explicit links to Helm chart repositories and values files
- Clarify runtime and IDE deployment sections with better explanations

* docs: Add Docker flow packaging guide and enhance deployment documentation

- Introduce new section on packaging Langflow flows as Docker images
- Provide step-by-step instructions for creating custom Docker images with flows
- Include example commands for building, running, and pushing Docker images
- Minor formatting and clarity improvements to existing Docker deployment guide

* docs: Refine Kubernetes and Docker deployment documentation

- Streamline Docker and Kubernetes deployment guides
- Improve clarity and conciseness of instructions
- Add more precise examples for deploying Langflow with custom images
- Enhance secret configuration and flow deployment explanations
- Simplify formatting and remove redundant text

* docs: Minor text refinements in Kubernetes and Docker deployment documentation

- Update link text for Langflow runtime deployment
- Correct capitalization and minor typos in deployment guides
- Improve clarity of deployment section descriptions

* revert-lockfiles

* Revert "HuggingFace Spaces deployment documentation"

This reverts commit 2943deb1e0.

* Remove lockfiles from PR

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

* docs: Standardize deployment documentation titles

* code-review

* docs: Refactor deployment documentation for clarity and conciseness

* shorten-nav-titles

* code-review-and-cleanup

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

* service

* gcp

* hf-spaces

* railway-and-render

* kubernetes

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

* remove-extra-heading

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

---------

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>
2025-02-26 21:21:14 +00:00
2024-06-04 09:26:13 -03:00

Langflow

Langflow is a low-code app builder for RAG and multi-agent AI applications. Its Python-based and agnostic to any model, API, or database.

Docs - Free Cloud Service - Self Managed

README in English README in Portuguese README in Spanish README in Simplified Chinese README in Japanese README in KOREAN README in French README in Russian

Core features

  1. Python-based and agnostic to models, APIs, data sources, or databases.
  2. Visual IDE for drag-and-drop building and testing of workflows.
  3. Playground to immediately test and iterate workflows with step-by-step control.
  4. Multi-agent orchestration and conversation management and retrieval.
  5. Free cloud service to get started in minutes with no setup.
  6. Publish as an API or export as a Python application.
  7. Observability with LangSmith, LangFuse, or LangWatch integration.
  8. Enterprise-grade security and scalability with free DataStax Langflow cloud service.
  9. Customize workflows or create flows entirely just using Python.
  10. Ecosystem integrations as reusable components for any model, API or database.

Integrations

📦 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

Getting Started

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👋 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.


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Description
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Readme MIT 2.3 GiB
Languages
Python 64.5%
TypeScript 23.4%
JavaScript 11.4%
CSS 0.3%
Makefile 0.2%
Other 0.1%