‘langflow’ Open-source No Code AI-driven workflow Tool to build applications

Langflow is a low-code tool for developers that makes it easier to build powerful AI agents and workflows that can use any API, model, or database.

Langflow allows you to build agentic and retrieval-augmented generation (RAG) apps. It supports Python and use of any LLM or vector database.

Its intuitive interface allows for easy manipulation of AI building blocks, enabling developers to quickly prototype and turn their ideas into powerful, real-world solutions.

Langflow empowers developers to rapidly prototype and build AI applications with its user-friendly interface and powerful features. Whether you’re a seasoned AI developer or just starting out, Langflow provides the tools you need to bring your AI ideas to life.

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 —-

Langfuse 

Langfuse is an observability and analytics platform specifically designed for language models and AI applications.

Langfuse | Langflow Documentation

LangSmith

LangSmith is a full-lifecycle DevOps service from LangChain that provides monitoring and observability. To integrate with Langflow, just add your LangChain API key as a Langflow environment variable and you are good to go!

LangSmith | Langflow Documentation

LangWatch

LangWatch is an all-in-one LLMOps platform for monitoring, observability, analytics, evaluations and alerting for getting user insights and improve your LLM workflows.

LangWatch | Langflow Documentation

Integrate Nvidia Ingest with Langflow

The NVIDIA Ingest component integrates with the NVIDIA nv-ingest microservice for data ingestion, processing, and extraction of text files.

The nv-ingest service supports multiple extraction methods for PDF, DOCX, and PPTX file types, and includes pre- and post-processing services like splitting, chunking, and embedding generation.

The NVIDIA Ingest component imports the NVIDIA Ingestor client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of Data objects. Ingestor accepts additional configuration options for data extraction from other text formats.

Integrate Nvidia Ingest with Langflow | Langflow Documentation

Integrate Composio with Langflow

Langflow integrates with Composio as a toolset for your Agent component.

Instead of juggling multiple integrations and components in your flow, connect the Composio component to an Agent component to use all of Composio’s supported APIs and actions as Tools for your agent.

Integrate Composio with Langflow | Langflow Documentation

AssemblyAI

The AssemblyAI components allow you to apply powerful Speech AI models to your app for tasks like:

  • Transcribing audio and video files
  • Formatting transcripts
  • Generating subtitles
  • Applying LLMs to audio files

AssemblyAI | Langflow Documentation

Integrate Arize with Langflow

Arize is a tool built on OpenTelemetry and OpenInference for monitoring and optimizing LLM applications.

To add tracing to your Langflow application, add the ARIZE_SPACE_ID and ARIZE_API_KEY environment variables to your Langflow application.

Integrate Arize with Langflow | Langflow Documentation

Visual flow builder

Langflow is an intuitive visual flow builder. This drag-and-drop interface allows developers to create complex AI workflows without writing extensive code. You can easily connect different components, such as prompts, language models, and data sources, to build sophisticated AI applications.

Langflow in action

Use cases

Langflow can be used for a wide range of AI applications, including:

Community and support

Join Langflow’s vibrant community of developers and AI enthusiasts. See the following resources to join discussions, share your projects, and get support:

Get started with Langflow

GitHub – langflow-ai/langflow: 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.

Langflow | Low-code AI builder for agentic and RAG applications