Build AI Workflows Without Code—Inside Your Secure Perimeter

Building AI applications typically requires Python expertise, framework knowledge, and significant development time. Most business teams don’t have that.

Calliope integrates Langflow Studio—the popular open-source visual workflow builder—inside your secure environment. All the power of visual AI development, with enterprise governance and security.

Why Langflow Studio?

Langflow has become the standard for visual AI workflow development. Drag-and-drop interface. Hundreds of pre-built components. Active open-source community.

But running Langflow on your own means:

• Managing infrastructure
• No enterprise authentication
• No governance integration
• No audit trails
• Security is your problem

Calliope’s Langflow integration solves this. Same visual builder, enterprise-ready.

Visual Development, Governed

Langflow Studio in Calliope gives you:

1. Drag components onto the canvas—LLMs, prompts, data loaders, tools
2. Connect them by drawing lines between inputs and outputs
3. Configure settings in the side panel
4. Test instantly with the built-in playground
5. Deploy with enterprise governance applied

See your entire AI workflow visually. Understand data flow at a glance. Make changes by reconnecting nodes.

Pre-Built Components

Langflow includes hundreds of ready-to-use components:

LLM Providers:

• OpenAI (GPT-4, GPT-3.5)
• Anthropic (Claude)
• Google (Gemini)
• Local models (Ollama)
• Azure OpenAI

Data Loaders:

• PDF documents
• Web pages
• Databases
• APIs
• File uploads

Vector Stores:

• Pinecone
• Weaviate
• Chroma
• Qdrant

Tools:

• Search
• Code execution
• API calls
• Calculations

RAG in Minutes

Building a RAG (Retrieval-Augmented Generation) pipeline typically takes days. In Langflow:

1. Add a Document Loader component
2. Connect to a Text Splitter
3. Connect to an Embedding model
4. Connect to a Vector Store
5. Add a Retriever and LLM

Five components, five minutes. Your documents are now queryable via natural language.

Agent Workflows

Build autonomous agent systems visually:

• Define agent goals and constraints
• Connect available tools
• Set up memory and context
• Configure handoffs between agents
• Add human approval nodes

Complex multi-agent systems become understandable diagrams instead of opaque code.

Enterprise Features in Calliope

Running Langflow through Calliope adds:

• Zentinelle governance: Policy enforcement on all workflows
• Enterprise authentication: SSO, role-based access
• Audit trails: Every workflow execution logged
• Secrets management: API keys managed securely, not in workflows
• Deployment security: Runs in your secure perimeter
• Team collaboration: Multiple editors, version control

Who Uses Langflow?

Business analysts: Build data processing pipelines without engineering support.

Product teams: Prototype AI features before committing engineering resources.

Operations: Create automated workflows for repetitive tasks.

Developers: Rapidly prototype before writing production code.

Data teams: Build and iterate on RAG and analysis workflows.

From Prototype to Production

Langflow workflows aren’t just prototypes. They can run in production:

• Expose as API endpoints
• Embed in applications
• Schedule periodic execution
• Trigger from events

Start with visual development, deploy without rewriting—with governance applied.

Getting Started

Langflow Studio is available in Calliope. Start building immediately—no setup, no dependencies, no code.

Get started with Langflow →